Triple

T28899417
Position Surface form Disambiguated ID Type / Status
Subject Poison E732911 entity
Predicate roleInStreetFighter P197764 FINISHED
Object playable fighter 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: playable fighter | Statement: [Poison, roleInStreetFighter, playable fighter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInStreetFighter
Context triple: [Poison, roleInStreetFighter, playable fighter]
  • A. roleInMortalKombat
    Indicates that one entity has a specific role or function within the context of the Mortal Kombat franchise or universe.
  • B. roleInCobraKai
    Indicates that an entity has a specific role or position within the context of Cobra Kai.
  • C. roleInUFC
    Indicates the specific capacity or position an entity holds within the context of the Ultimate Fighting Championship (UFC), such as fighter, referee, coach, or official.
  • D. smashBrosRole
    Indicates that one entity has a specific role or function related to the Super Smash Bros. game or its competitive context in relation to another entity.
  • E. roleInMonsterVerse
    Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
  • 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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69feaa483fcc81909d8a46b38a8717bf completed May 9, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69fea8c9d45c81908ccc8619e5fefac1 completed May 9, 2026, 3:23 a.m.
PDg Predicate description generation batch_69feaa477f7c81909382b3aa77e7e11c completed May 9, 2026, 3:30 a.m.
Created at: April 28, 2026, 8:01 a.m.