Triple

T9346377
Position Surface form Disambiguated ID Type / Status
Subject Victor Rasuk E224899 entity
Predicate playedCharacter P1507 FINISHED
Object Cam Calderon E568346 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: Cam Calderon | Statement: [Victor Rasuk, playedCharacter, Cam Calderon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cam Calderon
Context triple: [Victor Rasuk, playedCharacter, Cam Calderon]
  • A. Cam Calderon chosen
    Cam Calderon is a fictional hustling entrepreneur and streetwise best friend character from the HBO comedy-drama series "How to Make It in America."
  • B. Cris Abrego
    Cris Abrego is an American television producer and executive best known for creating and overseeing numerous popular reality TV series.
  • C. Rodrigo Corral
    Rodrigo Corral is a prominent American graphic designer best known for creating distinctive, concept-driven book covers for major contemporary authors and publishers.
  • D. Oscar D’León
    Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
  • E. Rey Robles
    Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0e2ccc8190a68f1c96c0886660 completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb039ff0819099ae19420cc1987a completed April 5, 2026, 8:50 p.m.
Created at: March 30, 2026, 7:41 p.m.