Triple

T11624434
Position Surface form Disambiguated ID Type / Status
Subject Sasha Barrese E276225 entity
Predicate name P16 FINISHED
Object Sasha Barrese E276225 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: Sasha Barrese | Statement: [Sasha Barrese, name, Sasha Barrese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha Barrese
Context triple: [Sasha Barrese, name, Sasha Barrese]
  • A. Sasha Barrese chosen
    Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
  • B. Sasha Alexander
    Sasha Alexander is an American actress best known for her television roles on series such as NCIS and Rizzoli & Isles.
  • C. Sasha Flenderson
    Sasha Flenderson is the young daughter of HR representative Toby Flenderson on the American television series "The Office."
  • D. Sasha Czack
    Sasha Czack is an American photographer, director, and actress best known as the first wife of actor Sylvester Stallone.
  • E. Samantha Boscarino
    Samantha Boscarino is an American actress best known for her roles in teen-oriented television series and films, including a starring role on Nickelodeon’s "How to Rock."
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:39 p.m.