Triple

T646346
Position Surface form Disambiguated ID Type / Status
Subject John Mara E11249 entity
Predicate name P16 FINISHED
Object John Mara E11249 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: John Mara | Statement: [John Mara, name, John Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mara
Context triple: [John Mara, name, John Mara]
  • A. John Mara chosen
    John Mara is an American sports executive best known as the longtime co-owner and president of the NFL’s New York Giants.
  • B. Steve Spagnuolo
    Steve Spagnuolo is an American football coach best known as a defensive mastermind in the NFL, including coordinating multiple Super Bowl–winning defenses.
  • C. Sean McDermott
    Sean McDermott is an American football coach best known for leading the Buffalo Bills back to consistent playoff contention in the NFL.
  • D. Dan Snyder
    Dan Snyder is an American businessman best known for his controversial tenure as the longtime owner of Washington’s NFL franchise, marked by on-field struggles and numerous organizational scandals.
  • E. Tom Coughlin
    Tom Coughlin is an American football coach best known for leading the New York Giants to two Super Bowl championships.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1b24b08190897d8aedb877bd83 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5a0c0c81909aa3339d7ba62a0d completed March 2, 2026, 11:58 a.m.
Created at: March 1, 2026, 7:36 p.m.