Triple

T7440754
Position Surface form Disambiguated ID Type / Status
Subject Ernest Gold E171743 entity
Predicate name P16 FINISHED
Object Ernest Gold E171743 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: Ernest Gold | Statement: [Ernest Gold, name, Ernest Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Gold
Context triple: [Ernest Gold, name, Ernest Gold]
  • A. Ernest Gold chosen
    Ernest Gold was an Austrian-born American composer best known for his acclaimed film scores, including the Oscar-winning music for "Exodus."
  • B. Bernard Newman
    Bernard Newman was an American costume designer best known for his glamorous work in 1930s Hollywood musicals and films.
  • C. Elmer Bernstein
    Elmer Bernstein was an American composer renowned for his prolific and influential film scores across genres, including classics like "The Ten Commandments," "The Magnificent Seven," and "To Kill a Mockingbird."
  • D. David Raksin
    David Raksin was an American film composer best known for his influential scores in classic Hollywood cinema, including the iconic music for the film "Laura."
  • E. Earle Hagen
    Earle Hagen was an American composer and arranger best known for his iconic television themes, including the whistled opening of The Andy Griffith Show.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c54c5ec8190bc2adf5a19fdea1c completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:13 p.m.