Triple

T14277874
Position Surface form Disambiguated ID Type / Status
Subject Amber Holt E353960 entity
Predicate creator P184 FINISHED
Object Jason Katims E349961 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: Jason Katims | Statement: [Amber Holt, creator, Jason Katims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Katims
Context triple: [Amber Holt, creator, Jason Katims]
  • A. Jason Katims chosen
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • B. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • C. Scott Buck
    Scott Buck is an American television writer and producer best known for his work on series such as Dexter, Six Feet Under, and Iron Fist.
  • D. David Frankel
    David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
  • E. Brian Koppelman
    Brian Koppelman is an American screenwriter, director, and producer best known for co-writing films like "Rounders" and "Ocean's Thirteen" and co-creating the TV series "Billions."
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.