Triple

T21877299
Position Surface form Disambiguated ID Type / Status
Subject Betrayal Takes Two E540179 entity
Predicate producer P490 FINISHED
Object Richard Gottehrer NE NERFINISHED

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: Richard Gottehrer | Statement: [Betrayal Takes Two, producer, Richard Gottehrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Gottehrer
Context triple: [Betrayal Takes Two, producer, Richard Gottehrer]
  • A. Richard Gottehrer chosen
    Richard Gottehrer is an American record producer, songwriter, and music executive known for co-founding Sire Records and working with numerous influential rock and pop artists.
  • B. Robert Ochsenfeld
    Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
  • C. Joseph Taugwalder
    Joseph Taugwalder was a 19th-century Swiss mountain guide from Zermatt, known for his involvement in early ascents of major Alpine peaks.
  • D. Edward Strohbehn
    Edward Strohbehn is an environmental lawyer best known as a co-founder of the Natural Resources Defense Council (NRDC), a leading U.S. environmental advocacy organization.
  • E. Richard Klubeck
    Richard Klubeck is a film producer best known for his work on the acclaimed independent movie "Garden State."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.