Triple

T12438622
Position Surface form Disambiguated ID Type / Status
Subject Without Remorse E297211 entity
Predicate stars P1956 FINISHED
Object Brett Gelman E740341 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: Brett Gelman | Statement: [Without Remorse, stars, Brett Gelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brett Gelman
Context triple: [Without Remorse, stars, Brett Gelman]
  • A. Brett Gelman chosen
    Brett Gelman is an American actor and comedian known for his eccentric, often darkly comic roles in television series such as "Stranger Things," "Fleabag," and various Adult Swim productions.
  • B. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • C. Michael Gelman
    Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
  • D. Matthew Weisman
    Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
  • E. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d6947c819080d33199d331724c completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:55 p.m.