Triple

T22769171
Position Surface form Disambiguated ID Type / Status
Subject Sidney Glass E563205 entity
Predicate associatedWith P37 FINISHED
Object Emma Swan 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: Emma Swan | Statement: [Sidney Glass, associatedWith, Emma Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Swan
Context triple: [Sidney Glass, associatedWith, Emma Swan]
  • A. Emma Swan chosen
    Emma Swan is the tough, skeptical bail bondsperson who discovers she is the prophesied Savior and daughter of Snow White and Prince Charming in the TV series "Once Upon a Time."
  • B. Princess Aurora
    Princess Aurora is the kind-hearted, golden-haired princess from Disney’s Sleeping Beauty, known for her enchanted slumber and her central role in the reimagined Maleficent films.
  • C. Beau Swan
    Beau Swan is the male protagonist of Stephenie Meyer’s gender-swapped retelling of Twilight, navigating a supernatural romance with the vampire Edythe Cullen.
  • D. The Evil Queen
    The Evil Queen is the vain and power-hungry royal villain from Disney’s Snow White, infamous for her jealousy and use of dark magic to eliminate her rival.
  • E. Wendy Darling
    Wendy Darling is a central character in J. M. Barrie’s Peter Pan stories, known as the imaginative, nurturing girl who travels to Neverland and becomes a motherly figure to the Lost Boys.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.