Triple

T11760664
Position Surface form Disambiguated ID Type / Status
Subject The Sergeant E279645 entity
Predicate musicBy P1952 FINISHED
Object Miklós Rózsa E269571 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: Miklós Rózsa | Statement: [The Sergeant, musicBy, Miklós Rózsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miklós Rózsa
Context triple: [The Sergeant, musicBy, Miklós Rózsa]
  • A. Miklós Rózsa chosen
    Miklós Rózsa was a Hungarian-American composer renowned for his influential and Oscar-winning film scores during Hollywood’s Golden Age, including classics like Ben-Hur and Double Indemnity.
  • B. Franz Waxman
    Franz Waxman was a German-American composer renowned for his influential and Oscar-winning film scores during Hollywood's Golden Age.
  • C. Max Steiner
    Max Steiner was an Austrian-American composer and conductor renowned as one of the founding fathers of film music, scoring classics such as Gone with the Wind and Casablanca.
  • D. Bernard Herrmann
    Bernard Herrmann was an influential American composer best known for his innovative and dramatic film scores, including his landmark collaborations with directors Orson Welles and Alfred Hitchcock.
  • E. 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."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16695479c819082c6ab12657a2d5f completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:41 p.m.