Triple

T22366379
Position Surface form Disambiguated ID Type / Status
Subject Nina Hartley E552914 entity
Predicate name P16 FINISHED
Object Nina Hartley NE NERFINISHED

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: Nina Hartley | Statement: [Nina Hartley, name, Nina Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Hartley
Context triple: [Nina Hartley, name, Nina Hartley]
  • A. Nina Hartley chosen
    Nina Hartley is an American pornographic actress, sex educator, and author known for her long-running adult film career and outspoken advocacy for sex-positivity and sexual education.
  • B. Jennifer Hart
    Jennifer Hart is a glamorous, intelligent, and adventurous wealthy socialite and amateur sleuth from the television series "Hart to Hart."
  • C. Nicole Greer
    Nicole Greer is a person notable enough to be specifically distinguished among individuals with the surname Greer, though further widely recognized public details about her are not clearly established.
  • D. Kelli Rhoads
    Kelli Rhoads is a musician best known for her association with the American glam metal band Ratt.
  • E. Stefania LaVie Owen
    Stefania LaVie Owen is a New Zealand–American actress known for her roles in film and television, including the horror-comedy "Krampus" and the series "The Carrie Diaries" and "Sweetbitter."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580074dc819091305ac7017000d3 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.