Triple

T987372
Position Surface form Disambiguated ID Type / Status
Subject Zellig Harris E21308 entity
Predicate memberOf P10 FINISHED
Object University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
E116653 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: University of Pennsylvania Department of Linguistics | Statement: [Zellig Harris, memberOf, University of Pennsylvania Department of Linguistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Pennsylvania Department of Linguistics
Context triple: [Zellig Harris, memberOf, University of Pennsylvania Department of Linguistics]
  • A. Hungarian Research Centre for Linguistics
    The Hungarian Research Centre for Linguistics is a leading Hungarian academic institution dedicated to the scientific study, documentation, and standardization of the Hungarian language and related linguistic fields.
  • B. Language Technologies Institute, Carnegie Mellon University
    The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
  • C. Department of English
    The Department of English at Presidency College, Kolkata is an academic unit specializing in the study and teaching of English language and literature.
  • D. Society for Linguistic Anthropology
    The Society for Linguistic Anthropology is a scholarly organization dedicated to the study of language as a cultural and social resource and practice within the broader field of anthropology.
  • E. Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
    The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: University of Pennsylvania Department of Linguistics
Triple: [Zellig Harris, memberOf, University of Pennsylvania Department of Linguistics]
Generated description
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Pennsylvania Department of Linguistics
Target entity description: The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
  • A. Hungarian Research Centre for Linguistics
    The Hungarian Research Centre for Linguistics is a leading Hungarian academic institution dedicated to the scientific study, documentation, and standardization of the Hungarian language and related linguistic fields.
  • B. Language Technologies Institute, Carnegie Mellon University
    The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
  • C. Department of English
    The Department of English at Presidency College, Kolkata is an academic unit specializing in the study and teaching of English language and literature.
  • D. Society for Linguistic Anthropology
    The Society for Linguistic Anthropology is a scholarly organization dedicated to the study of language as a cultural and social resource and practice within the broader field of anthropology.
  • E. Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
    The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a7754c8190a10ba0587bd8323d completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac20a7f47c8190b765cde3c6fbe1f8 completed March 7, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac21640a8c8190820a1b34a7d5c895 completed March 7, 2026, 1 p.m.
Created at: March 1, 2026, 7:41 p.m.