Triple

T18692073
Position Surface form Disambiguated ID Type / Status
Subject Fairchild Cornell E457023 entity
Predicate alsoKnownAs P39 FINISHED
Object Cornell NE NERFINISHED

How this triple was built (2 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: Cornell | Statement: [Fairchild Cornell, alsoKnownAs, Cornell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornell
Context triple: [Fairchild Cornell, alsoKnownAs, Cornell]
  • A. Cornell chosen
    Cornell is a surname most prominently associated with the late American rock musician and Soundgarden frontman Chris Cornell.
  • B. Cornell University
    Cornell University is a prestigious Ivy League research university in Ithaca, New York, known for its diverse academic programs and strengths in fields ranging from engineering and agriculture to business and the humanities.
  • C. Yale
    "Yale" is a popular track by American rapper Ken Carson, known for its aggressive delivery and distorted, hypertrap production style.
  • D. Yale
    Yale is a small unincorporated community located in Kansas, United States.
  • E. Yale
    Yale is a historic town in British Columbia, Canada, that served as a key hub during the Cariboo Gold Rush and the construction of the Canadian Pacific Railway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e4756881909335e1e7b3c23e28 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.