Triple

T14956137
Position Surface form Disambiguated ID Type / Status
Subject Chazz Michael Michaels E372931 entity
Predicate directedBy P7373 FINISHED
Object Will Speck E787150 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: Will Speck | Statement: [Chazz Michael Michaels, directedBy, Will Speck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Speck
Context triple: [Chazz Michael Michaels, directedBy, Will Speck]
  • A. Will Speck chosen
    Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
  • B. Tod Andrews
    Tod Andrews was an American film, television, and stage actor active in the mid-20th century, known for his character roles across a variety of popular series and movies.
  • C. Karey Kirkpatrick
    Karey Kirkpatrick is an American screenwriter and director known for his work on animated and family films such as Chicken Run, Over the Hedge, and Smallfoot.
  • D. Jonathan Levine
    Jonathan Levine is an American film director and screenwriter known for character-driven comedies and dramedies such as 50/50 and Warm Bodies.
  • E. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9e74fc8190bdd10a25c39829f3 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.