Triple

T32620712
Position Surface form Disambiguated ID Type / Status
Subject Phoebe Grey E833913 entity
Predicate fictionalBirthOrder P195864 FINISHED
Object younger child of Christian Grey and Anastasia Steele 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: younger child of Christian Grey and Anastasia Steele | Statement: [Phoebe Grey, fictionalBirthOrder, younger child of Christian Grey and Anastasia Steele]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalBirthOrder
Context triple: [Phoebe Grey, fictionalBirthOrder, younger child of Christian Grey and Anastasia Steele]
  • A. fictionalBirthStatus
    Indicates the relationship between an entity and its status of being born or created within a fictional or imaginary context.
  • B. fictionalBirthName
    Indicates the original personal name assigned to a fictional character at birth, as distinct from any later or alternate names they may use.
  • C. fictionalBirthDate
    Indicates the date on which a fictional character is stated or assumed to have been born within its narrative or canon.
  • D. fictionalBirthYear
    Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
  • E. fictionalDaughter
    Indicates that one entity is the daughter of another within a fictional or narrative context.
  • F. None of above. chosen

Provenance (4 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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fdec5ffe088190ac5505f26c6cff18 completed May 8, 2026, 2 p.m.
PD Predicate disambiguation batch_69fdeae15f1c81908fc63fbc1b028d2e completed May 8, 2026, 1:53 p.m.
PDg Predicate description generation batch_69fdec5f0420819087c0230ad384c4ba completed May 8, 2026, 1:59 p.m.
Created at: May 1, 2026, 1:06 a.m.