Triple

T38464569
Position Surface form Disambiguated ID Type / Status
Subject Nitros Oxide E912530 entity
Predicate voiceActorInCrashTeamRacing P185136 FINISHED
Object Michael Ensign
Michael Ensign is an American character actor known for his numerous film, television, and voice roles, including work in popular franchises and video games.
E2272515 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: Michael Ensign | Statement: [Nitros Oxide, voiceActorInCrashTeamRacing, Michael Ensign]
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: Michael Ensign
Triple: [Nitros Oxide, voiceActorInCrashTeamRacing, Michael Ensign]
Generated description
Michael Ensign is an American character actor known for his numerous film, television, and voice roles, including work in popular franchises and video games.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voiceActorInCrashTeamRacing
Context triple: [Nitros Oxide, voiceActorInCrashTeamRacing, Michael Ensign]
  • A. voiceActorCharacter
    Indicates that a person serving as a voice actor provides the voice for a particular character.
  • B. voiceActorForLaraCroft
    Indicates that one entity serves as the voice actor portraying the character Lara Croft in a work.
  • C. voiceActorOfPerformer
    Indicates that one performer provides the voice for a character or role portrayed by another performer.
  • D. voiceActorOfSolidSnake
    Indicates that one entity serves as the voice actor for the character Solid Snake in a work.
  • E. voiceActorInVideoGames chosen
    Indicates that one entity provides voice acting for a character or role in video games associated with another entity.
  • 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_69f76e861d8c81908559031dc66e3c15 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d647e62081909378907c0f44287d completed June 29, 2026, 2:19 a.m.
NEDg Description generation batch_6a41d7dedcf88190bae93d80699be099 completed June 29, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a41d862098c819090728ec5fe64371d completed June 29, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:31 p.m.