Triple

T9238151
Position Surface form Disambiguated ID Type / Status
Subject Lucky Guy E221987 entity
Predicate producer P490 FINISHED
Object Roy Furman E431501 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: Roy Furman | Statement: [Lucky Guy, producer, Roy Furman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Furman
Context triple: [Lucky Guy, producer, Roy Furman]
  • A. Roy Furman chosen
    Roy Furman is an American theater producer and financier known for backing numerous successful Broadway productions.
  • B. James DePreist
    James DePreist was a prominent American conductor renowned for leading major orchestras worldwide and for his influential tenure with the Oregon Symphony.
  • C. Oscar Furlong
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • D. Ron Funches
    Ron Funches is an American stand-up comedian and actor known for his warm, laid-back delivery and distinctive voice work in animated films and television.
  • E. Jim Fouché
    Jim Fouché was a South African National Party politician who served as the country’s ceremonial State President from 1968 to 1975.
  • 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_69d1d58be8a4819088c419888a879e3e completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 7:30 p.m.