Triple

T17791138
Position Surface form Disambiguated ID Type / Status
Subject Ice Age: A Mammoth Christmas E444163 entity
Predicate director P255 FINISHED
Object Karen Disher 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: Karen Disher | Statement: [Ice Age: A Mammoth Christmas, director, Karen Disher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Disher
Context triple: [Ice Age: A Mammoth Christmas, director, Karen Disher]
  • A. Karen Disher chosen
    Karen Disher is an American storyboard artist, director, and voice actress known for her work on animated films and television series, including the Ice Age franchise.
  • B. Diane Coulston
    Diane Coulston is a teenage schoolgirl in the film "T2 Trainspotting," known for her past relationship with protagonist Mark Renton and her sharp, grounded perspective on the aging former heroin users.
  • C. Karen Stanton
    Karen Stanton is a British academic leader and university administrator who has served as vice-chancellor of York St John University.
  • D. Sandra McCabe
    Sandra McCabe is an actress known for her role in the film "The Rose."
  • E. Cathleen Summers
    Cathleen Summers is a film and television producer best known for her work on the action-comedy movie "Stakeout."
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48797408081908c48d98e1525ae87 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.