Triple

T35187152
Position Surface form Disambiguated ID Type / Status
Subject Fifi E1016020 entity
Predicate occupationInFantasy P34569 FINISHED
Object World War I Flying Ace 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: World War I Flying Ace | Statement: [Fifi, occupationInFantasy, World War I Flying Ace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationInFantasy
Context triple: [Fifi, occupationInFantasy, World War I Flying Ace]
  • A. fantasyRole
    Indicates that one entity holds a fictional, imaginative, or role-playing identity or function in relation to another within a fantasy or make-believe context.
  • B. fictionalOccupation chosen
    Indicates that one entity is the imaginary or narrative-based job, role, or profession attributed to another entity within a fictional context.
  • C. laterOccupationInFiction
    Indicates that a fictional character holds a particular occupation at a later point in the narrative or timeline, distinct from their earlier roles.
  • D. fictionalProfessionSpecialty
    Indicates that a fictional character’s professional role is specialized in a particular subfield, focus area, or niche within that profession.
  • E. settingOfCharacterOccupation
    Indicates the place or environment in which a character performs or holds their occupation.
  • 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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dc3776c8190bbd4702acd5a191e completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.