Triple

T952214
Position Surface form Disambiguated ID Type / Status
Subject Rance Howard E20546 entity
Predicate name P16 FINISHED
Object Rance Howard E20546 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: Rance Howard | Statement: [Rance Howard, name, Rance Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rance Howard
Context triple: [Rance Howard, name, Rance Howard]
  • A. Rance Howard chosen
    Rance Howard was an American character actor known for his extensive work in film and television and as the patriarch of the Howard acting and directing family.
  • B. Ralph Nelson
    Ralph Nelson was an American film and television director, producer, and writer known for works such as "Lilies of the Field" and "Requiem for a Heavyweight."
  • C. Roy Harlow
    Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
  • D. Sterling Hayden
    Sterling Hayden was an American actor and World War II hero known for his rugged film roles and his clandestine service as a Marine and OSS operative.
  • E. Louis Calhern
    Louis Calhern was an American stage and film actor known for his sophisticated character roles in classic Hollywood cinema, including notable performances in films like "The Asphalt Jungle" and "Julius Caesar."
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a0f4e088190b2fcd01e9475ff5d completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:40 p.m.