Triple

T14308331
Position Surface form Disambiguated ID Type / Status
Subject Stacy Keach E354754 entity
Predicate name P16 FINISHED
Object Stacy Keach E354754 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: Stacy Keach | Statement: [Stacy Keach, name, Stacy Keach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stacy Keach
Context triple: [Stacy Keach, name, Stacy Keach]
  • 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. Leo Penn
    Leo Penn was an American actor and television director who became known both for his work in mid-20th-century film and TV and for being blacklisted during the McCarthy era.
  • C. 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.
  • D. 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.
  • E. Lawrence Tierney
    Lawrence Tierney was an American film and television actor best known for his tough-guy roles in classic crime films and later for his intimidating presence in movies like Quentin Tarantino's "Reservoir Dogs."
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7c397c81908dab10dd8d7aa367 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:12 a.m.