Triple

T13507694
Position Surface form Disambiguated ID Type / Status
Subject Crimson Tide E321054 entity
Predicate writer P1360 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: [Crimson Tide, writer, Michael Schiffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Schiffer
Context triple: [Crimson Tide, writer, 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. 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.
  • E. Michael Schoeffling
    Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:43 p.m.