Triple

T21952197
Position Surface form Disambiguated ID Type / Status
Subject Spy Game E542095 entity
Predicate castMember P1668 FINISHED
Object Larry Bryggman 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: Larry Bryggman | Statement: [Spy Game, castMember, Larry Bryggman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Bryggman
Context triple: [Spy Game, castMember, Larry Bryggman]
  • A. Larry Bryggman chosen
    Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
  • B. Lloyd Hansen
    Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
  • C. Joseph Swensen
    Joseph Swensen is an American conductor and violinist known for leading major European orchestras and for his dynamic, expressive interpretations of the orchestral repertoire.
  • D. Larry Lund
    Larry Lund is a former professional ice hockey player best known for his standout career in the World Hockey Association, particularly with the Houston Aeros.
  • E. Pat Haggerty
    Pat Haggerty was a prominent NFL official best known for serving as the referee in multiple Super Bowls during his long officiating career.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.