Triple

T4340418
Position Surface form Disambiguated ID Type / Status
Subject Anders Zorn E97565 entity
Predicate notableWork P4 FINISHED
Object The Swan E321970 NE 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: The Swan | Statement: [Anders Zorn, notableWork, The Swan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Swan
Context triple: [Anders Zorn, notableWork, The Swan]
  • A. The Swan chosen
    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.
  • B. The Unfinished Swan
    The Unfinished Swan is a surreal first-person adventure game known for its distinctive minimalist art style and exploration-focused storytelling.
  • C. Eleanor Craig
    Eleanor Craig is known primarily as the daughter of William Craig.
  • D. Swan of Lichfield
    The Swan of Lichfield is the celebrated nickname of English Romantic-era poet and letter-writer Anna Seward, renowned for her eloquent verse and influential literary salon in Lichfield.
  • E. The White Peacock
    The White Peacock is D. H. Lawrence’s debut novel, exploring complex human relationships, class tensions, and the conflict between industrialization and nature in rural England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516f92588190bdf004d8020c1203 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0b301188190af8514a675aebb5f completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:14 p.m.