Triple

T13510153
Position Surface form Disambiguated ID Type / Status
Subject Contact E321116 entity
Predicate castMember P1668 FINISHED
Object David Morse E73876 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: David Morse | Statement: [Contact, castMember, David Morse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Morse
Context triple: [Contact, castMember, David Morse]
  • A. David Morse chosen
    David Morse is an American character actor known for his tall, imposing presence and roles in films such as The Green Mile, The Hurt Locker, and television series like St. Elsewhere.
  • B. Dylan Walsh
    Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
  • C. George Eads
    George Eads is an American actor best known for his long-running role as Nick Stokes on the television series CSI: Crime Scene Investigation.
  • D. Cal Hudson
    Cal Hudson is a Starfleet officer in the Star Trek universe who defects to join the Maquis resistance movement against the Cardassians.
  • E. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9009688190b8f18bb3525c6afd completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.