Triple

T1248659
Position Surface form Disambiguated ID Type / Status
Subject Department of Computer Science, UCLA E26824 entity
Predicate parentOrganization P254 FINISHED
Object Henry Samueli School of Engineering and Applied Science
The Henry Samueli School of Engineering and Applied Science is UCLA’s engineering school, known for its research-intensive programs across multiple engineering disciplines and its strong integration of technology and applied science.
E143510 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: Henry Samueli School of Engineering and Applied Science | Statement: [Department of Computer Science, UCLA, parentOrganization, Henry Samueli School of Engineering and Applied Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Samueli School of Engineering and Applied Science
Context triple: [Department of Computer Science, UCLA, parentOrganization, Henry Samueli School of Engineering and Applied Science]
  • A. Shiley School of Engineering
    Shiley School of Engineering is the University of Portland’s engineering college, offering undergraduate and graduate programs in fields such as civil, mechanical, and electrical engineering.
  • B. Herbert Wertheim College of Engineering
    Herbert Wertheim College of Engineering is the University of Florida’s flagship engineering school, known for its research-intensive programs and contributions to innovation and technology.
  • C. McCormick School of Engineering and Applied Science
    The McCormick School of Engineering and Applied Science is Northwestern University's engineering school, known for its interdisciplinary approach that integrates technical education with design, entrepreneurship, and the humanities.
  • D. Fu Foundation School of Engineering and Applied Science
    The Fu Foundation School of Engineering and Applied Science is Columbia University's engineering and applied science school, known for its research-intensive programs and location in New York City.
  • E. McKelvey School of Engineering
    The McKelvey School of Engineering is the engineering school of Washington University in St. Louis, known for its research-intensive programs in areas such as biomedical engineering, computer science, and materials science.
  • 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: Henry Samueli School of Engineering and Applied Science
Triple: [Department of Computer Science, UCLA, parentOrganization, Henry Samueli School of Engineering and Applied Science]
Generated description
The Henry Samueli School of Engineering and Applied Science is UCLA’s engineering school, known for its research-intensive programs across multiple engineering disciplines and its strong integration of technology and applied science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry Samueli School of Engineering and Applied Science
Target entity description: The Henry Samueli School of Engineering and Applied Science is UCLA’s engineering school, known for its research-intensive programs across multiple engineering disciplines and its strong integration of technology and applied science.
  • A. Shiley School of Engineering
    Shiley School of Engineering is the University of Portland’s engineering college, offering undergraduate and graduate programs in fields such as civil, mechanical, and electrical engineering.
  • B. Herbert Wertheim College of Engineering
    Herbert Wertheim College of Engineering is the University of Florida’s flagship engineering school, known for its research-intensive programs and contributions to innovation and technology.
  • C. McCormick School of Engineering and Applied Science
    The McCormick School of Engineering and Applied Science is Northwestern University's engineering school, known for its interdisciplinary approach that integrates technical education with design, entrepreneurship, and the humanities.
  • D. Fu Foundation School of Engineering and Applied Science
    The Fu Foundation School of Engineering and Applied Science is Columbia University's engineering and applied science school, known for its research-intensive programs and location in New York City.
  • E. McKelvey School of Engineering
    The McKelvey School of Engineering is the engineering school of Washington University in St. Louis, known for its research-intensive programs in areas such as biomedical engineering, computer science, and materials science.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf827e088190a16d845cea14f2c9 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c420f08190a6eda4d0aa498a3a completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94ed24108190b0118317717070b2 completed March 7, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69ac955c94e481908ada73691ae5f1be completed March 7, 2026, 9:15 p.m.
Created at: March 1, 2026, 7:47 p.m.