Triple

T19572047
Position Surface form Disambiguated ID Type / Status
Subject Road Trip E489740 entity
Predicate mainCharacter P1183 FINISHED
Object Rubin Carver NE NERFINISHED

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: Rubin Carver | Statement: [Road Trip, mainCharacter, Rubin Carver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubin Carver
Context triple: [Road Trip, mainCharacter, Rubin Carver]
  • A. Rubin Carver chosen
    Rubin Carver is a fictional character portrayed by Paulo Costanzo in the comedy film "Road Trip."
  • B. Raymond Carver
    Raymond Carver was an American short story writer and poet renowned for his minimalist, emotionally resonant depictions of working-class life.
  • C. Denis Johnson
    Denis Johnson was an American writer acclaimed for his haunting, lyrical fiction and poetry, best known for works like "Jesus' Son" and the National Book Award–winning novel "Tree of Smoke."
  • D. Paris Carver
    Paris Carver is a fictional character and Bond girl from the James Bond film "Tomorrow Never Dies," where she is portrayed as the sophisticated and conflicted wife of media mogul Elliot Carver and former lover of James Bond.
  • E. Frank Carver
    Frank Carver is the central protagonist of the film "Love Hurts," around whom the story’s emotional and relational conflicts revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.