Triple

T5505645
Position Surface form Disambiguated ID Type / Status
Subject Dalton Trumbo E144431 entity
Predicate pseudonym P39 FINISHED
Object Robert Rich E454287 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: Robert Rich | Statement: [Dalton Trumbo, pseudonym, Robert Rich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Rich
Context triple: [Dalton Trumbo, pseudonym, Robert Rich]
  • A. Robert Rich chosen
    Robert Rich is the pseudonym under which screenwriter Dalton Trumbo won the Academy Award for Best Story for the film "The Brave One" during the era of the Hollywood blacklist.
  • B. Robert Rich
    Robert Rich was a medieval English figure known primarily as the brother of Saint Edmund Rich, the Archbishop of Canterbury and noted theologian.
  • C. Brian MacDevitt
    Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
  • D. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • E. Andrew Solt
    Andrew Solt was a Hungarian-American screenwriter and producer best known for his work on mid-20th-century films and later for creating music-related documentaries and television programs.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0e91d08190a4db907030955bb3 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027b3ab408190ab1e68dfbcf7eec6 completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:32 p.m.