Triple

T20753047
Position Surface form Disambiguated ID Type / Status
Subject Meadowland E510779 entity
Predicate editedBy P1954 FINISHED
Object Madeleine Gavin 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: Madeleine Gavin | Statement: [Meadowland, editedBy, Madeleine Gavin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeleine Gavin
Context triple: [Meadowland, editedBy, Madeleine Gavin]
  • A. Madeleine Gavin chosen
    Madeleine Gavin is a film editor and director known for her work on independent features and documentaries, including the film "Song One."
  • B. Madeleine Martin
    Madeleine Martin is an American actress best known for playing Becca Moody, the sardonic daughter of David Duchovny’s character, on the television series "Californication."
  • C. Madeleine Madden
    Madeleine Madden is an Australian actress known for her prominent role in the fantasy television series "The Wheel of Time" and for her work in both Australian film and television.
  • D. Madeleine Peters
    Madeleine Peters is a Canadian voice actress best known for voicing Scootaloo in the My Little Pony franchise, including My Little Pony: The Movie.
  • E. Madeleine Daly
    Madeleine Daly is an actress known for her role in the period drama film "The White Countess."
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22be6588190b137193cb3184fc0 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.