Triple

T13703073
Position Surface form Disambiguated ID Type / Status
Subject Joyful Noise E328566 entity
Predicate editedBy P1954 FINISHED
Object Kathryn Himoff E689066 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: Kathryn Himoff | Statement: [Joyful Noise, editedBy, Kathryn Himoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Himoff
Context triple: [Joyful Noise, editedBy, Kathryn Himoff]
  • A. Kathryn Himoff chosen
    Kathryn Himoff is a film editor known for her work on feature films, including editing the biographical drama "Pollock."
  • B. Kathryn Chetkovich
    Kathryn Chetkovich is an American writer and essayist known for her fiction and for her widely discussed essay about envy and literary success.
  • C. Kirsten Fudeman
    Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
  • D. Emily Friehl
    Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
  • E. Kathryn Harrold
    Kathryn Harrold is an American actress best known for her film and television work in the late 1970s and 1980s, including prominent roles in romantic comedies and dramas.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b543308190a86e715106641484 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:54 p.m.