Triple

T9238159
Position Surface form Disambiguated ID Type / Status
Subject Lucky Guy E221987 entity
Predicate soundDesigner P32563 FINISHED
Object Scott Lehrer E322286 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: Scott Lehrer | Statement: [Lucky Guy, soundDesigner, Scott Lehrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Lehrer
Context triple: [Lucky Guy, soundDesigner, Scott Lehrer]
  • A. Scott Lehrer chosen
    Scott Lehrer is a Tony Award–winning American sound designer renowned for his work on numerous Broadway productions.
  • B. Frank Schaeffer
    Frank Schaeffer is an American author, filmmaker, and speaker known for his former role in the evangelical Christian right and his later critiques of fundamentalism and conservative politics.
  • C. Lawrence Gresser
    Lawrence Gresser was an American politician who served as the inaugural Manhattan Borough President in New York City.
  • D. Frank N. Seltzer
    Frank N. Seltzer was a film producer active in mid-20th-century American cinema, known for working on genre pictures including Westerns.
  • E. Eddie Felson
    Eddie Felson is a fiercely ambitious, self-destructive pool hustler whose rise and fall in the world of high-stakes billiards explores themes of pride, integrity, and redemption.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.