Triple

T21943495
Position Surface form Disambiguated ID Type / Status
Subject Kelli Garner E541878 entity
Predicate name P16 FINISHED
Object Kelli Garner E541878 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: Kelli Garner | Statement: [Kelli Garner, name, Kelli Garner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelli Garner
Context triple: [Kelli Garner, name, Kelli Garner]
  • A. Kelli Garner chosen
    Kelli Garner is an American actress known for her work in independent films and television, including notable roles in projects like "Lars and the Real Girl" and the miniseries "The Secret Life of Marilyn Monroe."
  • B. Debra McMichael
    Debra McMichael is an American former professional wrestling valet, manager, and occasional wrestler best known for her appearances in WWE and WCW during the late 1990s and early 2000s.
  • C. Tracy Garner
    Tracy Garner is known as the spouse of Doug Billings, a character from the comedy film series "The Hangover."
  • D. Yvette Marie Stevens
    Yvette Marie Stevens is the birth name of Chaka Khan, the iconic American singer known as the "Queen of Funk."
  • E. Gina Matthews
    Gina Matthews is a film and television producer best known for her work on popular romantic comedies such as "13 Going on 30."
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60ee7cc48190bf32574b758c6425 completed May 18, 2026, 12:44 a.m.
Created at: April 16, 2026, 7:56 p.m.