Triple

T9258470
Position Surface form Disambiguated ID Type / Status
Subject Laverne DeFazio E222504 entity
Predicate givenName P17 FINISHED
Object Laverne E486674 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: Laverne | Statement: [Laverne DeFazio, givenName, Laverne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laverne
Context triple: [Laverne DeFazio, givenName, Laverne]
  • A. Laverne chosen
    Laverne is a feminine given name most prominently associated in contemporary culture with actress and LGBTQ+ advocate Laverne Cox.
  • B. Laverne Todd
    Laverne Todd is a central character on the American sitcom "Empty Nest," known as one of the key figures in the show's ensemble cast.
  • C. Vernie
    Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
  • D. Lavagirl
    Lavagirl is a fiery superheroine from the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D," known for her lava-based powers and partnership with Sharkboy in a dreamlike fantasy world.
  • E. Joanie Zeck
    Joanie Zeck is the wife of American actor Dennis Franz, known for maintaining a largely private life outside of her husband's television fame.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0714317481908405f857a4f49e74 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bf225608190ade085302946dd8f completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.