Triple

T5608131
Position Surface form Disambiguated ID Type / Status
Subject Ezra Cornell E147284 entity
Predicate familyName P18 FINISHED
Object Cornell E48327 NE FINISHED

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: [Ezra Cornell, familyName, Cornell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornell
Context triple: [Ezra Cornell, familyName, 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 widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
  • D. Columbia University
    Columbia University is an Ivy League research university renowned for its rigorous academics and influential role in scholarship, journalism, and public affairs.
  • E. Yale University
    Yale University is an Ivy League research university in New Haven, Connecticut, renowned for its prestigious academic programs, historic campus, and influential alumni.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4465388190b28f47f11e133b6a completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:39 p.m.