Triple

T34792020
Position Surface form Disambiguated ID Type / Status
Subject Les Fées E1002971 entity
Predicate rewardForYoungerSister P31175 FINISHED
Object jewels and flowers fall from her mouth when she speaks 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: jewels and flowers fall from her mouth when she speaks | Statement: [Les Fées, rewardForYoungerSister, jewels and flowers fall from her mouth when she speaks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rewardForYoungerSister
Context triple: [Les Fées, rewardForYoungerSister, jewels and flowers fall from her mouth when she speaks]
  • A. receivedYoungerOverElderBlessing
    Indicates that a younger individual received a blessing or favor that would traditionally or normally be given to an elder.
  • B. isEldestSisterOf
    Indicates that one person is the oldest female sibling in relation to another person.
  • C. grantedAsRewardFor chosen
    Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
  • D.
    Indicates that the subject (悠仁親王) has the object (佳子内親王) as his older sister.
  • E. adoptiveSister
    Indicates a sisterly relationship where one person is the sister of another through legal adoption rather than biological parentage.
  • 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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ffa6b68819090257fed3802c239 completed May 3, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f7795978c481909e152cd1bd02dd07 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.