Triple

T22925929
Position Surface form Disambiguated ID Type / Status
Subject James Keach E569304 entity
Predicate hasRelative P367 FINISHED
Object Walter Stacy Keach Sr. 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: Walter Stacy Keach Sr. | Statement: [James Keach, hasRelative, Walter Stacy Keach Sr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Stacy Keach Sr.
Context triple: [James Keach, hasRelative, Walter Stacy Keach Sr.]
  • A. Stacy Keach chosen
    Stacy Keach is an American actor known for his powerful character roles in film, television, and theater, often portraying tough, authoritative figures.
  • B. Louis Begley
    Louis Begley is a Polish-born American novelist and lawyer best known for his critically acclaimed works exploring identity, morality, and the legacy of the Holocaust.
  • C. Lionel Stander
    Lionel Stander was an American character actor known for his distinctive gravelly voice and memorable supporting roles in classic Hollywood films and later television.
  • D. Wally Cox
    Wally Cox was an American actor and comedian best known for his mild-mannered, bespectacled persona in film and television during the mid-20th century.
  • E. Martin Balsam
    Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.