Triple

T14526998
Position Surface form Disambiguated ID Type / Status
Subject Little Briar Rose E340804 entity
Predicate originalTitle P65 FINISHED
Object Dornröschen E229636 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: Dornröschen | Statement: [Little Briar Rose, originalTitle, Dornröschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dornröschen
Context triple: [Little Briar Rose, originalTitle, Dornröschen]
  • A. Gänseliesel
    Gänseliesel is a famous fountain statue in Göttingen, Germany, traditionally kissed by newly graduated students and considered one of the city’s most beloved landmarks.
  • B. Snow White
    Snow White is the kind-hearted princess and central heroine of Disney’s classic 1937 animated film "Snow White and the Seven Dwarfs," renowned as the studio’s first feature-length animated character.
  • C. Cinderella
    Cinderella is a musical by Andrew Lloyd Webber that reimagines the classic fairy tale with a modern twist in story, character, and score.
  • D. Cinderella
    "Cinderella" is a popular studio album by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
  • E. The Sleeping Beauty chosen
    The Sleeping Beauty is a landmark classical ballet, originally choreographed by Marius Petipa to Tchaikovsky’s score, renowned for its grand style, technical precision, and prominence in the Mariinsky Theatre tradition.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.