Triple

T13791669
Position Surface form Disambiguated ID Type / Status
Subject Bring It On E331412 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Missy Pantone – Eliza Dushku E986903 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: Missy Pantone – Eliza Dushku | Statement: [Bring It On, characterPortrayedBy, Missy Pantone – Eliza Dushku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missy Pantone – Eliza Dushku
Context triple: [Bring It On, characterPortrayedBy, Missy Pantone – Eliza Dushku]
  • A. Missy Pantone chosen
    Missy Pantone is a rebellious, tough-minded cheerleader and gymnast from the film "Bring It On," known for challenging the status quo of her squad.
  • B. Missy Gold
    Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
  • C. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • D. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • E. Missy Francis
    Missy Francis is an American former child actress best known for her role as Cassandra Cooper Ingalls on the television series "Little House on the Prairie."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0817bd88190a46e539f2ff24d83 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.