Triple

T23961189
Position Surface form Disambiguated ID Type / Status
Subject Professor Henry Higgins E603933 entity
Predicate attemptsToTransform P154054 FINISHED
Object Eliza Doolittle 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: Eliza Doolittle | Statement: [Professor Henry Higgins, attemptsToTransform, Eliza Doolittle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attemptsToTransform
Context triple: [Professor Henry Higgins, attemptsToTransform, Eliza Doolittle]
  • A. canTransform
    Indicates that one entity is capable of being changed or converted into another entity or state.
  • B. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
  • C. transformedIn
    Indicates that one entity has been changed, converted, or altered into another state, form, or representation within a specific context or process.
  • D. transformsUnder
    Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
  • E. transformedDuring
    Indicates that an entity undergoes a change in form, state, or structure within the duration of a specified event or process.
  • 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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d0dac8e081908286e8d8d30784ee completed April 29, 2026, 9:35 a.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f167dca3608190ace9d2eef56b2af6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 9:23 p.m.