Triple

T10355529
Position Surface form Disambiguated ID Type / Status
Subject The Pledge E243989 entity
Predicate composer P1361 FINISHED
Object Hans Zimmer E13255 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: Hans Zimmer | Statement: [The Pledge, composer, Hans Zimmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Zimmer
Context triple: [The Pledge, composer, Hans Zimmer]
  • A. Hans Zimmer chosen
    Hans Zimmer is a renowned German film composer celebrated for his influential, award-winning scores for major Hollywood blockbusters such as The Lion King, Gladiator, Inception, and The Dark Knight trilogy.
  • B. James Newton Howard
    James Newton Howard is an acclaimed American composer best known for his prolific film and television scores across a wide range of genres.
  • C. Ramin Djawadi
    Ramin Djawadi is a German-Iranian composer best known for his powerful, cinematic scores for film and television, including Game of Thrones, Westworld, and major blockbuster movies.
  • D. Clint Mansell
    Clint Mansell is a British composer best known for his atmospheric and often haunting film scores, including work on movies like Requiem for a Dream, The Fountain, and Black Swan.
  • E. John Debney
    John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc10284c8190bcce0f058b88ef0e completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 11:58 a.m.