Triple

T28795394
Position Surface form Disambiguated ID Type / Status
Subject Cô Bé E727071 entity
Predicate perceivedAge P161441 FINISHED
Object child 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: child | Statement: [Cô Bé, perceivedAge, child]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perceivedAge
Context triple: [Cô Bé, perceivedAge, child]
  • A. relativeAgeInference
    Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
  • B. portrayalAge chosen
    Indicates the age or life stage at which an entity is depicted or represented in a given context.
  • C. mayBeAgedIn
    Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
  • D. portraysFromAge
    Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
  • E. relativeAgeStatus
    Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
  • 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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 28, 2026, 6:25 a.m.