Triple

T38415254
Position Surface form Disambiguated ID Type / Status
Subject Lyoto Machida E901583 entity
Predicate eventLostTitleAt P184139 FINISHED
Object UFC 113
UFC 113 was a mixed martial arts pay-per-view event headlined by the rematch between Lyoto Machida and Maurício "Shogun" Rua, where Rua captured the UFC light heavyweight title.
 E2273441 NE FINISHED

How this triple was built (3 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: UFC 113 | Statement: [Lyoto Machida, eventLostTitleAt, UFC 113]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UFC 113
Triple: [Lyoto Machida, eventLostTitleAt, UFC 113]
Generated description
UFC 113 was a mixed martial arts pay-per-view event headlined by the rematch between Lyoto Machida and Maurício "Shogun" Rua, where Rua captured the UFC light heavyweight title.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: eventLostTitleAt
Context triple: [Lyoto Machida, eventLostTitleAt, UFC 113]
  • A. lostTitlesAtEvent chosen
    Indicates that an entity relinquished or was stripped of its titles during a specific event.
  • B. titleHolderLoses
    Indicates that an entity who currently holds a title or championship loses that title to another entity.
  • C. lostTitlesTo
    Indicates that one entity previously held titles or championships that were later lost in competition to another entity.
  • D. titleForfeited
    Indicates that an entity has lost or been stripped of a title or formal designation it previously held.
  • E. claimedTitleEnd
    Indicates the point in time or event at which a previously claimed title, rank, or designation ceases to be held or recognized.
  • F. None of above.

Provenance (6 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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d640380c819086a4dd80cfe6b1c8 completed June 29, 2026, 2:19 a.m.
NEDg Description generation batch_6a41da188e188190aba5f4debf39436f completed June 29, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a41da687b008190a1596c47cd572819 completed June 29, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.