Triple

T13667683
Position Surface form Disambiguated ID Type / Status
Subject The Four Feathers (2002 film) E327663 entity
Predicate screenwriter P2831 FINISHED
Object Michael Schiffer E667966 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: Michael Schiffer | Statement: [The Four Feathers (2002 film), screenwriter, Michael Schiffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Schiffer
Context triple: [The Four Feathers (2002 film), screenwriter, Michael Schiffer]
  • A. Michael Schiffer chosen
    Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
  • B. Christian Specht
    Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • C. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • D. Eric Meyhofer
    Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
  • E. Michael Umlauf
    Michael Umlauf was a 19th-century Austrian composer, violinist, and conductor best known for co-conducting the premiere of Beethoven’s Ninth Symphony.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea598fd888190b53ab937bad1d824 completed May 9, 2026, 3:10 a.m.
Created at: April 9, 2026, 9:52 p.m.