Triple

T3393911
Position Surface form Disambiguated ID Type / Status
Subject Mark Gastineau E71482 entity
Predicate teammate P2649 FINISHED
Object Joe Klecko E5248 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: Joe Klecko | Statement: [Mark Gastineau, teammate, Joe Klecko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Klecko
Context triple: [Mark Gastineau, teammate, Joe Klecko]
  • A. Joe Klecko chosen
    Joe Klecko is a former American football defensive lineman best known as a dominant member of the New York Jets' famed "New York Sack Exchange" and a Pro Football Hall of Famer.
  • B. Russell Bufalino
    Russell Bufalino was a powerful mid-20th-century American mob boss from Pennsylvania, known for his influence in organized crime and alleged connections to the disappearance of Jimmy Hoffa.
  • C. John Gotti
    John Gotti was a notorious American mobster who became boss of New York’s Gambino crime family and a symbol of organized crime in the 1980s.
  • D. Vito Ierullo
    Vito Ierullo is an entrepreneur best known as the founder of the global entertainment company Entertainment One (eOne).
  • E. Tony Corrente
    Tony Corrente is an American football official best known for his long NFL refereeing career, including serving as the head referee for multiple high-profile games.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc8a75c8190ab4f652272d33576 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.