Triple

T21090882
Position Surface form Disambiguated ID Type / Status
Subject Someone Like You E519632 entity
Predicate hasStory P11859 FINISHED
Object The 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: The Swan | Statement: [Someone Like You, hasStory, The Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Swan
Context triple: [Someone Like You, hasStory, The Swan]
  • A. The Swan chosen
    The Swan is a short story by Roald Dahl, included in his collection "The Wonderful Story of Henry Sugar and Six More," that follows a bullied boy who undergoes a harrowing yet transformative encounter with nature.
  • B. The Swan
    The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
  • C. The Swan
    The Swan is a graceful waterbird known for its long neck, white plumage in many species, and strong presence in mythology, literature, and art as a symbol of beauty and elegance.
  • D. The Swan
    The Swan is a 1956 romantic comedy film, based on Ferenc Molnár’s play, in which Louis Jourdan stars alongside Grace Kelly and Alec Guinness in a royal love triangle.
  • E. Marsh of the Swans
    Marsh of the Swans is the English translation of the French name "Marais des Cygnes," referring to a river and surrounding region historically noted for its wetlands and swan populations in the central United States.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ea7f881909db83bf6961b41ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.