Triple

T10521109
Position Surface form Disambiguated ID Type / Status
Subject Lillian Jean Cornell E248171 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: [Lillian Jean Cornell, familyName, Cornell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornell
Context triple: [Lillian Jean 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. Yale
    Yale is a small unincorporated community located in Kansas, United States.
  • E. Columbia University
    Columbia University is an Ivy League research university renowned for its rigorous academics and influential role in scholarship, journalism, and public affairs.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:28 p.m.