Triple

T26610428
Position Surface form Disambiguated ID Type / Status
Subject Gerard Gordeau E667902 entity
Predicate ruleSetExperience P56736 FINISHED
Object no-holds-barred (early UFC rules) 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: no-holds-barred (early UFC rules) | Statement: [Gerard Gordeau, ruleSetExperience, no-holds-barred (early UFC rules)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ruleSetExperience
Context triple: [Gerard Gordeau, ruleSetExperience, no-holds-barred (early UFC rules)]
  • A. settingOfExperience chosen
    Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
  • B. commandExperience
    Indicates that an entity has experience or a track record in holding command or leadership roles over others.
  • C. recommendedExperience
    Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
  • D. providesExperienceOf
    Indicates that one entity enables or delivers the experience of another entity to someone or something.
  • E. comparesExperienceTo
    Indicates that one entity evaluates or contrasts the level, amount, or quality of experience of one entity with that of another.
  • 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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61a17a7788190946f7e32d63cd43f completed May 2, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69f611ab768c8190b1849c15a3e59dda completed May 2, 2026, 3 p.m.
Created at: April 27, 2026, 2:16 a.m.