Triple

T33209892
Position Surface form Disambiguated ID Type / Status
Subject Marlee E850122 entity
Predicate filmCharacterNotableFor P24103 FINISHED
Object coordinating a complex scheme to sway a jury LITERAL 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: coordinating a complex scheme to sway a jury | Statement: [Marlee, filmCharacterNotableFor, coordinating a complex scheme to sway a jury]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmCharacterNotableFor
Context triple: [Marlee, filmCharacterNotableFor, coordinating a complex scheme to sway a jury]
  • A. filmCharacterOf
    Indicates that a person or character is a character appearing in a specified film.
  • B. notableWorkCharacter
    Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
  • C. notableCastFeature chosen
    Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
  • D. notableCharacterType
    Indicates that an entity is a notable or prominent example of a specified character type or role.
  • E. notableCharacterPortrayal
    Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
  • F. None of above.

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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:30 a.m.