Triple

T8071924
Position Surface form Disambiguated ID Type / Status
Subject New York Sack Exchange E188393 entity
Predicate member P10 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: [New York Sack Exchange, member, Joe Klecko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Klecko
Context triple: [New York Sack Exchange, member, 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. Joseph Ianniello
    Joseph Ianniello is an American media executive best known for serving as president and acting CEO of CBS Corporation.
  • C. Joseph Profaci
    Joseph Profaci was a powerful mid-20th-century New York Mafia boss who founded and led the crime family later known as the Colombo family.
  • D. 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.
  • E. John Ficarra
    John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4046a2148190a584e33bcf53cf22 completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e9225c8190bb196d9c325bb85e completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.