Triple

T11829025
Position Surface form Disambiguated ID Type / Status
Subject Ursula Franklin E281335 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 Franklin, givenName, Ursula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula
Context triple: [Ursula Franklin, givenName, Ursula]
  • A. 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.
  • B. 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."
  • 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 large Israeli settlement city in the central West Bank, known for its significant population, industrial zone, and the presence of Ariel University.
  • E. Ariel
    Ariel is a posthumously published poetry collection by Sylvia Plath that is widely regarded as her most powerful and influential work.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.