Triple

T23185574
Position Surface form Disambiguated ID Type / Status
Subject The Swan E579584 entity
Predicate nickname P55 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: [The Swan, nickname, The Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Swan
Context triple: [The Swan, nickname, The Swan]
  • A. The Swan
    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 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.
  • C. The Swan
    The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
  • 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. The Swan
    "The Swan" is a contemplative poem by Mary Oliver that reflects her characteristic blend of close observation of nature and spiritual insight.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f7230208190820acf52f537b3ff completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.