Triple

T11880110
Position Surface form Disambiguated ID Type / Status
Subject The Love Mart E282635 entity
Predicate starring P1507 FINISHED
Object Gilbert Roland E382609 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: Gilbert Roland | Statement: [The Love Mart, starring, Gilbert Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbert Roland
Context triple: [The Love Mart, starring, Gilbert Roland]
  • A. Gilbert Roland chosen
    Gilbert Roland was a Mexican-born American actor known for his suave leading-man roles in silent and sound films, including numerous Westerns and adventure movies across a career spanning over six decades.
  • B. Hugh Sothern
    Hugh Sothern was an American character actor active in early 20th-century stage and film, known for supporting roles in Hollywood movies.
  • C. Edmund Lowe
    Edmund Lowe was an American film actor best known for his leading roles in silent and early sound-era Hollywood films, particularly in war dramas and comedies.
  • D. Charles Bickford
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • E. Laird Cregar
    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.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9b70d08190aa74e612947317b5 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:44 p.m.