Triple

T18468730
Position Surface form Disambiguated ID Type / Status
Subject Jack Giarraputo E451234 entity
Predicate produced P490 FINISHED
Object Anger Management E392952 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: Anger Management | Statement: [Jack Giarraputo, produced, Anger Management]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anger Management
Context triple: [Jack Giarraputo, produced, Anger Management]
  • A. Anger Management chosen
    Anger Management is a 2003 comedy film starring Adam Sandler and Jack Nicholson about a mild-mannered man forced into an unconventional and escalating course of anger management therapy.
  • B. Anger Management
    Anger Management is an American television sitcom starring Charlie Sheen as a non-traditional therapist with anger issues of his own.
  • C. Anger Management
    Anger Management is a record label known for producing and releasing music, including works such as La Rumba.
  • D. Anger
    Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
  • E. Anger
    Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a857b1481908ebfcf832c83376f completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f26ef7881908b594437995d7cbc completed May 13, 2026, 9:06 a.m.
Created at: April 10, 2026, 11:34 a.m.