Triple

T10544285
Position Surface form Disambiguated ID Type / Status
Subject Angie Gennaro E248773 entity
Predicate portrayedBy P1507 FINISHED
Object Michelle Monaghan E244436 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: Michelle Monaghan | Statement: [Angie Gennaro, portrayedBy, Michelle Monaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Monaghan
Context triple: [Angie Gennaro, portrayedBy, Michelle Monaghan]
  • A. Michelle Monaghan chosen
    Michelle Monaghan is an American actress known for her roles in films such as "Gone Baby Gone" and the "Mission: Impossible" series, as well as various television dramas.
  • B. Catherine McDermott
    Catherine McDermott is a British design curator, writer, and academic known for her work in contemporary design and museum studies.
  • C. Kelly Reilly
    Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
  • D. Eve Hewson
    Eve Hewson is an Irish actress known for her roles in films like "The Knick," "Bridge of Spies," and the series "Bad Sisters."
  • E. Lou Doillon
    Lou Doillon is a French singer-songwriter, actress, and model known for her distinctive husky voice and work in both music and film.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9343c5c308190952596e5254b6a65 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.