Triple

T593800
Position Surface form Disambiguated ID Type / Status
Subject Monsters of the Midway E17333 entity
Predicate associatedPlayer P13494 FINISHED
Object Lance Briggs E35532 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: Lance Briggs | Statement: [Monsters of the Midway, associatedPlayer, Lance Briggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lance Briggs
Context triple: [Monsters of the Midway, associatedPlayer, Lance Briggs]
  • A. Lance Briggs chosen
    Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
  • B. Lance Gooden
    Lance Gooden is a Republican U.S. Representative from Texas known for his conservative positions on immigration, law enforcement, and fiscal policy.
  • C. Joseph W. Byrns
    Joseph W. Byrns was an American Democratic politician from Tennessee who served as Speaker of the U.S. House of Representatives in the mid-1930s.
  • D. Mark D. Bailey
    Mark D. Bailey is an American diplomat who has served as the United States Ambassador to Hungary.
  • E. Chub Feeney
    Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49d2a5f5481908bb9a71ff0f534d4 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a48e53081908e5d5e093edb5e75 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:33 p.m.