Triple

T32954425
Position Surface form Disambiguated ID Type / Status
Subject Juror 6 E843056 entity
Predicate respectsCharacter P44049 FINISHED
Object Juror 9 NE NERFINISHED

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: Juror 9 | Statement: [Juror 6, respectsCharacter, Juror 9]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: respectsCharacter
Context triple: [Juror 6, respectsCharacter, Juror 9]
  • A. allyOfCharacter
    Indicates that one character maintains an alliance or supportive partnership with another character.
  • B. treatsCharacter chosen
    Indicates how one character behaves toward or interacts with another character, especially in terms of care, respect, or mistreatment.
  • C. normCharacter
    Indicates that an entity conforms to or exemplifies a standard, typical, or normative character or set of characteristics.
  • D. usesCharacter
    Indicates that one entity employs, incorporates, or relies on a particular character (such as a symbol, letter, or persona) in its form, function, or representation.
  • E. character2
    Indicates that a second character entity is involved in the relationship or context defined by the predicate.
  • 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_69f3494a31f481909057136e49b4fe60 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d17171388190b37fb7268a80b569 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:21 a.m.