Triple

T3716164
Position Surface form Disambiguated ID Type / Status
Subject It's Not Right but It's Okay E81535 entity
Predicate writer P1360 FINISHED
Object Tony Estes E382737 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: Tony Estes | Statement: [It's Not Right but It's Okay, writer, Tony Estes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Estes
Context triple: [It's Not Right but It's Okay, writer, Tony Estes]
  • A. Tony Estes chosen
    Tony Estes is a music producer best known for his work on Whitney Houston’s hit song "It’s Not Right but It’s Okay."
  • B. Gary Cederstrom
    Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
  • C. Jerry Adair
    Jerry Adair was an American Major League Baseball infielder known for his steady defense and clutch hitting, particularly remembered for his role with the Baltimore Orioles and Boston Red Sox in the 1960s.
  • D. Daniel Stiepleman
    Daniel Stiepleman is an American screenwriter best known for writing the biographical legal drama film about Ruth Bader Ginsburg, "On the Basis of Sex."
  • E. Douglas Wick
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cf77dc819098979094172d82d1 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db0ba70481908dfd11ee5c89faff completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:33 p.m.