Triple

T15908210
Position Surface form Disambiguated ID Type / Status
Subject Analyze This E385777 entity
Predicate editor P1954 FINISHED
Object Craig Herring E385777 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: Craig Herring | Statement: [Analyze This, editor, Craig Herring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Herring
Context triple: [Analyze This, editor, Craig Herring]
  • A. Craig Herring chosen
    Craig Herring is a film editor best known for his work on the comedy crime film "Analyze This."
  • B. Graham Crowden
    Graham Crowden was a British character actor known for his eccentric, often darkly comic roles in film and television, including notable performances in works like "If....", "A Very Peculiar Practice", and "Waiting for God."
  • C. Richard Holbrook
    Richard Holbrook is a notable individual recognized for achievements significant enough to be associated with the surname Holbrook.
  • D. John Ales
    John Ales is an American actor known for his character roles in film and television, including a notable appearance in the comedy film "The Nutty Professor" (1996).
  • E. Chris Cattrall
    Chris Cattrall is a sibling of actress Kim Cattrall, known primarily in relation to her.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf11fd1481909f460cfa4485d3e3 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:52 a.m.