Triple

T14892799
Position Surface form Disambiguated ID Type / Status
Subject Limelight (1952 film) E359793 entity
Predicate featuresCharacter P626 FINISHED
Object Calvero E155244 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: Calvero | Statement: [Limelight (1952 film), featuresCharacter, Calvero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calvero
Context triple: [Limelight (1952 film), featuresCharacter, Calvero]
  • A. Calvero chosen
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • B. Sarroch
    Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
  • C. Valcheta
    Valcheta is a small town in northern Patagonia, Argentina, known as a local service and transport hub within Río Negro Province.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e83418081908280a9ed8ddb9fd7 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:10 a.m.