Triple

T9719551
Position Surface form Disambiguated ID Type / Status
Subject Odette E235428 entity
Predicate title P38 FINISHED
Object Swan Queen E816979 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: Swan Queen | Statement: [Odette, title, Swan Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swan Queen
Context triple: [Odette, title, Swan Queen]
  • A. Swan Queen chosen
    Swan Queen is the principal ballerina role in the classical ballet "Swan Lake," most famously embodied by the character Odette.
  • B. Swan Princess
    Swan Princess is a magical maiden from Russian folklore who transforms between a swan and a woman, most famously appearing in Alexander Pushkin’s fairy tale poem "The Tale of Tsar Saltan."
  • C. Swan King
    Swan King is the romantic nickname of Ludwig II of Bavaria, the 19th-century monarch famed for his fairy-tale castles and patronage of composer Richard Wagner.
  • D. Seven Swans
    "Seven Swans" is an indie folk album by Sufjan Stevens known for its sparse acoustic arrangements and spiritually themed, introspective songwriting.
  • E. The Swan
    The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e4022c4819097455f14dd9b1a77 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afa6d0d08190a8008b675c9aabb1 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:20 p.m.