Triple

T9467771
Position Surface form Disambiguated ID Type / Status
Subject Checkers (dog) E228315 entity
Predicate roleInSpeech P53328 FINISHED
Object example of a gift Nixon said he would not return 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: example of a gift Nixon said he would not return | Statement: [Checkers (dog), roleInSpeech, example of a gift Nixon said he would not return]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInSpeech
Context triple: [Checkers (dog), roleInSpeech, example of a gift Nixon said he would not return]
  • A. roleInVox
    Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
  • B. roleInAddressing
    Indicates the specific function or responsibility an entity has in dealing with or responding to a particular issue, situation, or task.
  • C. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • D. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • E. speakerRole chosen
    Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdd7d048190930a15cb2a2d99ea completed April 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69cca55f01b081908dc0f12eaa45f832 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:53 p.m.