Triple

T8847754
Position Surface form Disambiguated ID Type / Status
Subject Darci Kistler E210549 entity
Predicate spouse P13 FINISHED
Object Peter Martins E202899 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: Peter Martins | Statement: [Darci Kistler, spouse, Peter Martins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Martins
Context triple: [Darci Kistler, spouse, Peter Martins]
  • A. Peter Martins chosen
    Peter Martins is a Danish ballet dancer and choreographer best known for his long tenure as ballet master in chief of the New York City Ballet.
  • B. George Tomasini
    George Tomasini was an American film editor best known for his frequent collaborations with director Alfred Hitchcock on classics such as "Psycho," "Vertigo," and "Rear Window."
  • C. William Forsythe
    William Forsythe is an influential American choreographer renowned for revolutionizing contemporary ballet through his innovative, deconstructive approach to classical technique.
  • D. William Forsythe
    William Forsythe is an American character actor known for his intense, often villainous roles in action and crime films and television series.
  • E. Peter Sorg
    Peter Sorg is a cinematographer best known for his work on Tim Burton’s 2012 stop-motion animated film "Frankenweenie."
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a9194c8190bdfefc55a8fb29a3 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89bd3ef48190a6a2efff18db4dbd completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:49 p.m.