Triple

T14654160
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Walters (MCU) E344065 entity
Predicate transformationState P12686 FINISHED
Object retains intelligence in Hulk form 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: retains intelligence in Hulk form | Statement: [Jennifer Walters (MCU), transformationState, retains intelligence in Hulk form]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transformationState
Context triple: [Jennifer Walters (MCU), transformationState, retains intelligence in Hulk form]
  • A. transformationResult
    Indicates that one entity is the output or outcome produced by applying a transformation process to another entity.
  • B. transformationEvent
    Indicates an event in which one entity changes state, form, or structure into another, capturing the process and outcome of that transformation.
  • C. transformationProperty chosen
    Indicates that one entity has a specific behavior, constraint, or characteristic related to how it changes, converts, or is transformed into another form or state.
  • D. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
  • E. regionTransformed
    Indicates that one region has been changed or converted into another region through some transformation 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:27 a.m.