Triple

T3735358
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Blue Skinner E79168 entity
Predicate alsoKnownAs P39 FINISHED
Object Yvonne Blue E79168 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: Yvonne Blue | Statement: [Yvonne Blue Skinner, alsoKnownAs, Yvonne Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne Blue
Context triple: [Yvonne Blue Skinner, alsoKnownAs, Yvonne Blue]
  • A. Yvonne Stevens
    Yvonne Stevens is a private individual known primarily in public records as a relative of Damien Holland.
  • B. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • C. Yvonne
    Yvonne is a feminine given name of French origin, derived from "yew" and historically associated with archery and nobility.
  • D. Yvonne Blue Skinner chosen
    Yvonne Blue Skinner was the wife of influential American psychologist B. F. Skinner and a supportive partner throughout his academic and professional career.
  • E. Arlene Violet
    Arlene Violet is an American lawyer and former Rhode Island Attorney General, recognized as the first woman elected to that office in the United States.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3b399c819091b42209925c0d8f completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f857208190a51b264a5affca3d completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.