Triple

T14711673
Position Surface form Disambiguated ID Type / Status
Subject Louie E345560 entity
Predicate hasCastMember P2308 FINISHED
Object Ursula Parker E224877 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 Parker | Statement: [Louie, hasCastMember, Ursula Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula Parker
Context triple: [Louie, hasCastMember, Ursula Parker]
  • A. Ursula Parker chosen
    Ursula Parker is an American child actress best known for her role as Jane in the HBO series "Louie" and appearances in various independent films.
  • B. Katharine Parker
    Katharine Parker is the polished, manipulative corporate executive who serves as the main antagonist to Tess McGill in the 1988 film "Working Girl."
  • C. Ursula Knight
    Ursula Knight was the mother of Elihu Yale, the wealthy merchant and philanthropist after whom Yale University is named.
  • D. Patricia Tuckwell
    Patricia Tuckwell was an Australian-born violinist and fashion model who became Countess of Harewood through her marriage to George Lascelles, 7th Earl of Harewood.
  • E. Emily Rutherfurd
    Emily Rutherfurd is an American actress best known for her comedic television roles, including a prominent part on the sitcom "The New Adventures of Old Christine."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.