Triple

T11082659
Position Surface form Disambiguated ID Type / Status
Subject Marisa Tomei E262040 entity
Predicate notableWork P4 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: [Marisa Tomei, notableWork, Anger Management]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anger Management
Context triple: [Marisa Tomei, notableWork, Anger Management]
  • A. Anger Management
    Anger Management is an American television sitcom starring Charlie Sheen as a non-traditional therapist with anger issues of his own.
  • B. 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.
  • C. Anger
    Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
  • D. 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.
  • E. On Anger
    On Anger is a philosophical treatise by the Roman Stoic Seneca the Younger that analyzes the nature, dangers, and control of anger as a destructive emotion.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799bf89f48190889f08d2f5dd220a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e79854c88190bda69cfbe4ae9d1e completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.