Triple

T3739026
Position Surface form Disambiguated ID Type / Status
Subject Ursula Burns E79654 entity
Predicate givenName P17 FINISHED
Object Ursula E313707 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: [Ursula Burns, givenName, Ursula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula
Context triple: [Ursula Burns, givenName, Ursula]
  • A. Ursula
    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."
  • B. Ursula chosen
    Ursula is a feminine given name of Latin origin, most famously borne by Ursula von der Leyen, the President of the European Commission.
  • C. 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.”
  • D. Ariel
    Ariel is a spirit of the air and a central supernatural character in William Shakespeare’s play "The Tempest."
  • E. Ariel
    Ariel is one of Uranus's major icy moons, known for its relatively bright surface and complex system of canyons and fault valleys.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.