Triple

T8037409
Position Surface form Disambiguated ID Type / Status
Subject Tanya Snyder E187141 entity
Predicate name P16 FINISHED
Object Tanya Snyder E187141 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: Tanya Snyder | Statement: [Tanya Snyder, name, Tanya Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanya Snyder
Context triple: [Tanya Snyder, name, Tanya Snyder]
  • A. Tanya Snyder chosen
    Tanya Snyder is an American businesswoman and philanthropist best known as the co-owner and former co-CEO of the Washington Commanders NFL franchise.
  • B. Tanya Stephens
    Tanya Stephens is a Jamaican reggae and dancehall singer-songwriter known for her socially conscious lyrics and influential presence in Caribbean music.
  • C. Deborah Snyder
    Deborah Snyder is an American film producer known for her work on major superhero and genre films, particularly through her collaborations with director Zack Snyder on projects within the DC Extended Universe.
  • D. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • E. Jennifer Cossitt
    Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9129bec8190b3c1471ac8a131ac completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 5:23 p.m.