Triple

T14412142
Position Surface form Disambiguated ID Type / Status
Subject Felices 140 E357354 entity
Predicate hasAgeOfProtagonist P37051 FINISHED
Object 40 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: 40 | Statement: [Felices 140, hasAgeOfProtagonist, 40]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgeOfProtagonist
Context triple: [Felices 140, hasAgeOfProtagonist, 40]
  • A. protagonistAge chosen
    Indicates the age of the main character or central figure in a narrative or scenario.
  • B. containsAge
    Indicates that one entity includes or specifies the age value or age-related information of another entity.
  • C. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • D. isAdultCharacter
    Indicates that a character has reached adulthood, typically meeting the age or maturity criteria defining an adult within the given context.
  • E. hasAge
    Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69de2aa1b57881909a033eac8545c417 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.