Triple

T2941432
Position Surface form Disambiguated ID Type / Status
Subject Vivian Burey Marshall E79394 entity
Predicate givenName P17 FINISHED
Object Vivian E95915 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: Vivian | Statement: [Vivian Burey Marshall, givenName, Vivian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivian
Context triple: [Vivian Burey Marshall, givenName, Vivian]
  • A. Vivian chosen
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Vivien
    Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
  • C. Vicky
    Vicky is one of the two central female protagonists in Woody Allen's romantic drama film "Vicky Cristina Barcelona," whose contrasting personality and desires drive much of the story's emotional tension.
  • D. Vivia Ogden
    Vivia Ogden was an American silent film actress best known for her supporting role in D.W. Griffith’s 1920 melodrama "Way Down East."
  • E. Vanessa
    Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d4e5408190a0dd3728c5cf6a47 completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:56 p.m.