Triple

T15991423
Position Surface form Disambiguated ID Type / Status
Subject Malachi Pearson E387833 entity
Predicate hasGivenVoiceTo P83203 FINISHED
Object animated character 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: animated character | Statement: [Malachi Pearson, hasGivenVoiceTo, animated character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGivenVoiceTo
Context triple: [Malachi Pearson, hasGivenVoiceTo, animated character]
  • A. hasVoiceIn
    Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
  • B. hasVoices
    Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
  • C. hasVoiceActing chosen
    Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
  • D. spokenBefore
    Indicates that one entity has spoken or produced speech earlier in time than another entity.
  • E. hasGiven
    Indicates that one entity has transferred or presented something to another entity.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4e871c819082d7b1c1eaf5b4fe completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.