Triple

T6437684
Position Surface form Disambiguated ID Type / Status
Subject Charley E129938 entity
Predicate treatsWillyWithCompassion P28603 FINISHED
Object true 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: true | Statement: [Charley, treatsWillyWithCompassion, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatsWillyWithCompassion
Context triple: [Charley, treatsWillyWithCompassion, true]
  • A. tookCareOf chosen
    Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
  • B. mercyRule
    Indicates that a game is ended early because one side has achieved a lead so large that continuing is deemed unnecessary or unsporting.
  • C. followsWillOf
    Indicates that one entity acts in accordance with, or submits its decisions and behavior to, the intentions, desires, or directives of another entity.
  • D. ultimatelyRefusesToKill
    Indicates that an entity, despite prior opportunity or intent, finally decides not to kill another entity.
  • E. rescuedBy
    Indicates that one entity has been saved or brought out of danger by 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69c060f96980819091bab9335922a457 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:45 p.m.