Triple

T7354476
Position Surface form Disambiguated ID Type / Status
Subject The Yellow Rolls-Royce E169587 entity
Predicate stars P1956 FINISHED
Object Art Carney E411787 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: Art Carney | Statement: [The Yellow Rolls-Royce, stars, Art Carney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Art Carney
Context triple: [The Yellow Rolls-Royce, stars, Art Carney]
  • A. Art Carney chosen
    Art Carney was an American actor and comedian best known for his Emmy- and Oscar-winning performances, particularly as Ed Norton on the classic television series "The Honeymooners."
  • B. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • C. Sam Fields
    Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
  • D. Tony Randall
    Tony Randall was an American actor and comedian best known for his role as Felix Unger in the television series "The Odd Couple."
  • E. Dean Jones
    Dean Jones was an American actor best known for his leading roles in numerous Disney live-action films during the 1960s and 1970s.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.