Triple

T27937500
Position Surface form Disambiguated ID Type / Status
Subject Tom Hanks (narrator / older Hero Boy) E700651 entity
Predicate motionCapturePerformedBy P83328 FINISHED
Object Tom Hanks NE NERFINISHED

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: Tom Hanks | Statement: [Tom Hanks (narrator / older Hero Boy), motionCapturePerformedBy, Tom Hanks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motionCapturePerformedBy
Context triple: [Tom Hanks (narrator / older Hero Boy), motionCapturePerformedBy, Tom Hanks]
  • A. motionCapturePerformer chosen
    Indicates a relationship where a performer provides motion data, typically through sensors or tracking, to drive the movement of a digital character or animation.
  • B. protagonistMotionCapture
    Indicates that motion capture data is being recorded or applied specifically to the story’s protagonist character.
  • C. performedOnScreenBy
    Indicates that an action, role, or performance is carried out by one entity in an on-screen context involving another entity.
  • D. movementDirector
    Indicates that one entity serves as the movement director (responsible for choreographing or directing movement) for another entity, such as a performance or production.
  • E. producedByFilmCapture
    Indicates that something (such as an image, recording, or data) was created as a direct result of a film capture process.
  • 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_69ef6a5028108190a14696d9821dde49 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6895f0819088655277e45859a8 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 7:14 p.m.