Triple

T2843088
Position Surface form Disambiguated ID Type / Status
Subject Jocelyn Howard E62514 entity
Predicate notableRelative P367 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: [Jocelyn Howard, notableRelative, Rance Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rance Howard
Context triple: [Jocelyn Howard, notableRelative, 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. Joseph W. Young
    Joseph W. Young was an American real estate developer and city planner best known for creating and developing the planned community of Hollywood, Florida, in the early 20th century.
  • E. Ray Curtiss
    Ray Curtiss is a film editor best known for his work on the 1938 aviation adventure movie "The Dawn Patrol."
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.