Triple

T7564483
Position Surface form Disambiguated ID Type / Status
Subject Tombstone E178877 entity
Predicate screenwriter P2831 FINISHED
Object Kevin Jarre E673152 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: Kevin Jarre | Statement: [Tombstone, screenwriter, Kevin Jarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Jarre
Context triple: [Tombstone, screenwriter, Kevin Jarre]
  • A. Kevin Jarre chosen
    Kevin Jarre was an American screenwriter best known for writing the Oscar-winning Civil War film "Glory" and co-writing the Western "Tombstone."
  • B. Gregor Kurstin
    Gregor Kurstin is a Grammy-winning American songwriter and producer known for crafting pop hits for major artists including Kelly Clarkson, Adele, and Sia.
  • C. Greg Leisz
    Greg Leisz is an American multi-instrumentalist and renowned session musician, best known for his expressive pedal steel and guitar work across a wide range of rock, country, and Americana recordings.
  • D. John Du Prez
    John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
  • E. Ulrich Schnauss
    Ulrich Schnauss is a German electronic musician and producer known for his atmospheric, shoegaze-influenced ambient and downtempo compositions.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8615c98808190a9dd598846a598b2 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.