Triple

T15907950
Position Surface form Disambiguated ID Type / Status
Subject 61* E385769 entity
Predicate hasCastMember P2308 FINISHED
Object Richard Masur E405501 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: Richard Masur | Statement: [61*, hasCastMember, Richard Masur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Masur
Context triple: [61*, hasCastMember, Richard Masur]
  • A. Richard Masur chosen
    Richard Masur is an American character actor known for his extensive film and television work since the 1970s, including roles in movies like "Risky Business" and the miniseries "It."
  • B. John Masius
    John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
  • C. George Massenburg
    George Massenburg is an acclaimed American recording engineer, producer, and inventor renowned for his pioneering work in audio technology and studio production.
  • D. Richard Rochberg
    Richard Rochberg is an American mathematician known for his contributions to harmonic analysis and operator theory.
  • E. Michael Wittenberg
    Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179d63688190bda2758ed4b4e4df completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 4:52 a.m.