Triple

T2008148
Position Surface form Disambiguated ID Type / Status
Subject Daddy Long Legs (1955 film) E43631 entity
Predicate musicBy P1952 FINISHED
Object Alex North E192506 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: Alex North | Statement: [Daddy Long Legs (1955 film), musicBy, Alex North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex North
Context triple: [Daddy Long Legs (1955 film), musicBy, Alex North]
  • A. Alex North chosen
    Alex North was an American composer renowned for his innovative and influential film scores, including his work on major Hollywood epics and dramas.
  • B. Victor Young
    Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
  • 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. Ernest Gold
    Ernest Gold was an Austrian-born American composer best known for his acclaimed film scores, including the Oscar-winning music for "Exodus."
  • E. David Shire
    David Shire is an American composer best known for his film and television scores, including acclaimed work in the 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae12d708190bcfe91e3ab53f04e completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.