Triple

T25702740
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Cradock E644507 entity
Predicate inspiredCharacterOf P117924 FINISHED
Object Henry Fielding 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: Henry Fielding | Statement: [Charlotte Cradock, inspiredCharacterOf, Henry Fielding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inspiredCharacterOf
Context triple: [Charlotte Cradock, inspiredCharacterOf, Henry Fielding]
  • A. inspiredByFictionalCharacter chosen
    Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
  • B. fictionalCharacterAssociatedWith
    Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
  • C. inspiredByOrRelatedTo
    Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
  • D. inspiredByInUniverse
    Indicates that one fictional element within a narrative is the in-universe inspiration or creative source for another fictional element in the same narrative world.
  • E. discoveredByFictionalCharacter
    Indicates that something (such as an object, place, or concept) is discovered by a fictional character within a narrative.
  • 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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fc0e881081909ac33b3e42e82471 completed May 2, 2026, 1:28 p.m.
PD Predicate disambiguation batch_69f5afec3e94819080d9ba86cf8c866e completed May 2, 2026, 8:03 a.m.
Created at: April 21, 2026, 8:49 p.m.