Triple

T13803583
Position Surface form Disambiguated ID Type / Status
Subject Béatrix E331701 entity
Predicate featuresCharacter P626 FINISHED
Object Camille Maupin E927973 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: Camille Maupin | Statement: [Béatrix, featuresCharacter, Camille Maupin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camille Maupin
Context triple: [Béatrix, featuresCharacter, Camille Maupin]
  • A. Armistead Maupin chosen
    Armistead Maupin is an American writer best known for his groundbreaking "Tales of the City" series, which chronicles the lives of a diverse group of characters in San Francisco.
  • B. Anne Napolitano
    Anne Napolitano is a character from the film "The Fisher King," involved in the story’s exploration of loneliness, connection, and redemption.
  • C. Annie Golden
    Annie Golden is an American actress and singer best known for her roles in the musical film "Hair" and the television series "Orange Is the New Black."
  • D. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • E. Pamela Frank
    Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.