Triple

T13703061
Position Surface form Disambiguated ID Type / Status
Subject Joyful Noise E328566 entity
Predicate writer P1360 FINISHED
Object Todd Graff E625759 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: Todd Graff | Statement: [Joyful Noise, writer, Todd Graff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Graff
Context triple: [Joyful Noise, writer, Todd Graff]
  • A. Todd Graff chosen
    Todd Graff is an American actor, screenwriter, and director known for roles in films like "The Abyss" and for writing and directing the musical comedy "Camp."
  • B. Brian Reitzell
    Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
  • C. Alan Poul
    Alan Poul is an American film and television producer and director known for his work on acclaimed series such as Six Feet Under, The Newsroom, and Tokyo Vice.
  • D. Jason Beattie
    Jason Beattie is a music video director known for his work on the video for the song "Adorn."
  • E. Dean Fleischer-Camp
    Dean Fleischer-Camp is an American filmmaker and editor best known for co-creating the stop-motion character and film series "Marcel the Shell with Shoes On."
  • 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_69f7a8437af481909f91bb41bfdac53a completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.