Triple

T10381259
Position Surface form Disambiguated ID Type / Status
Subject Laird Cregar E244645 entity
Predicate birthName P65 FINISHED
Object Samuel Laird Cregar E244645 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: Samuel Laird Cregar | Statement: [Laird Cregar, birthName, Samuel Laird Cregar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Laird Cregar
Context triple: [Laird Cregar, birthName, Samuel Laird Cregar]
  • A. Laird Cregar chosen
    Laird Cregar was an American character actor of the early 1940s, known for his imposing presence and memorable performances in film noir and period dramas.
  • B. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • C. 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.
  • D. Henry Hull
    Henry Hull was an American character actor best known for his prolific work in early 20th-century stage and film, including notable roles in classic Hollywood productions.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b1d5b388190841ed0df2145ad7a completed April 10, 2026, 9:26 p.m.
Created at: April 6, 2026, 12:03 p.m.