Triple

T35636442
Position Surface form Disambiguated ID Type / Status
Subject Rey Mysterio vs. Dominik Mysterio E1029732 entity
Predicate involvesCharacterTurn P196301 FINISHED
Object Dominik Mysterio heel turn 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: Dominik Mysterio heel turn | Statement: [Rey Mysterio vs. Dominik Mysterio, involvesCharacterTurn, Dominik Mysterio heel turn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesCharacterTurn
Context triple: [Rey Mysterio vs. Dominik Mysterio, involvesCharacterTurn, Dominik Mysterio heel turn]
  • A. turnsIn
    Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
  • B. turnType
    Indicates the specific kind or category of turn being made in a movement or path (e.g., left turn, right turn, U-turn).
  • C. turns
    Indicates a change in orientation, direction, or state initiated by one entity affecting itself or another entity.
  • D. treatsCharacter
    Indicates how one character behaves toward or interacts with another character, especially in terms of care, respect, or mistreatment.
  • E. temptsCharacter
    Indicates that one character attempts to lure, entice, or persuade another character toward a particular action, choice, or desire, often involving moral or personal conflict.
  • F. None of above. chosen

Provenance (4 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_69f76e087bdc8190a4794bf9c0bd7634 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe1fd637c08190aa95cd2478c278cb completed May 8, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69fe19344bb481909b5e2144155e4add completed May 8, 2026, 5:11 p.m.
PDg Predicate description generation batch_69fe1fd58ad8819093d3d705e8521014 completed May 8, 2026, 5:39 p.m.
Created at: May 3, 2026, 4:05 p.m.