Triple

T13581335
Position Surface form Disambiguated ID Type / Status
Subject Cole Hauser E324423 entity
Predicate characteristicRole P59266 FINISHED
Object tough characters 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: tough characters | Statement: [Cole Hauser, characteristicRole, tough characters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characteristicRole
Context triple: [Cole Hauser, characteristicRole, tough characters]
  • A. roleCharacteristic chosen
    Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
  • B. typicalRole
    Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
  • C. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • D. speakerRole
    Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
  • E. cultRole
    Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.