Triple

T10525435
Position Surface form Disambiguated ID Type / Status
Subject Silver Streak E248289 entity
Predicate featuresCharacter P626 FINISHED
Object Roger Devereau E252168 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: Roger Devereau | Statement: [Silver Streak, featuresCharacter, Roger Devereau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Devereau
Context triple: [Silver Streak, featuresCharacter, Roger Devereau]
  • A. Roger Devereau chosen
    Roger Devereau is the central protagonist of the comedy-thriller film "Silver Streak," around whom the movie’s train-bound mystery and adventure revolve.
  • B. Robert DeGuerin
    Robert DeGuerin is a corrupt and ruthless antagonist in the 1996 action film "Eraser," serving as a key villain opposing Arnold Schwarzenegger's character.
  • C. Eugene Roche
    Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
  • D. Charles Rochon
    Charles Rochon was an early French settler and landowner in the Mobile, Alabama area, recognized as one of the region’s foundational colonial figures.
  • E. Robert Dalban
    Robert Dalban was a French character actor known for his prolific work in mid-20th-century French cinema, often appearing in supporting and comedic roles.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:29 p.m.