Triple

T14336565
Position Surface form Disambiguated ID Type / Status
Subject Disney characters E355479 entity
Predicate notableCharacter P1481 FINISHED
Object Ursula E342311 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: Ursula | Statement: [Disney characters, notableCharacter, Ursula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula
Context triple: [Disney characters, notableCharacter, Ursula]
  • A. Ursula
    Ursula is a feminine given name of Latin origin, most famously borne by Ursula von der Leyen, the President of the European Commission.
  • B. Ursula chosen
    Ursula is the iconic sea witch villain from Disney's animated film "The Little Mermaid," known for her dark magic, cunning bargains, and memorable musical number "Poor Unfortunate Souls."
  • C. Ursula Callistis
    Ursula Callistis is a fictional character, likely from a narrative work such as an anime, manga, or light novel series.
  • D. Ariel
    Ariel is the adventurous, red-haired mermaid princess from Disney’s The Little Mermaid, known for her curiosity about the human world and iconic songs like “Part of Your World.”
  • E. Ariel
    Ariel is a large Israeli settlement city in the central West Bank, known for its significant population, industrial zone, and the presence of Ariel University.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c2241e48190a0c626b3d741966a completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:14 a.m.