Triple

T22233682
Position Surface form Disambiguated ID Type / Status
Subject Chocolat E549530 entity
Predicate editedBy P1954 FINISHED
Object Monica Coleman 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: Monica Coleman | Statement: [Chocolat, editedBy, Monica Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Coleman
Context triple: [Chocolat, editedBy, Monica Coleman]
  • A. Monica Coleman chosen
    Monica Coleman is a film editor known for her work on the 2003 drama "Swimming Pool."
  • B. Monique Coleman
    Monique Coleman is an American actress and singer best known for playing Taylor McKessie in Disney’s High School Musical film series.
  • C. Monica McWilliams
    Monica McWilliams is a Northern Irish academic, human rights activist, and former politician known for her prominent role in the Northern Ireland peace process and advocacy for women's rights.
  • D. Monica Reed
    Monica Reed is a character in Noël Coward's comedy play "Present Laughter," typically portrayed as a sharp-tongued, efficient secretary and former lover of the protagonist, Garry Essendine.
  • E. Monica Doby
    Monica Doby is a member of the Brownstone music group, contributing to its vocal and artistic identity.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.