Triple

T21811991
Position Surface form Disambiguated ID Type / Status
Subject Jeanette E538497 entity
Predicate name P16 FINISHED
Object Jeanette 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: Jeanette | Statement: [Jeanette, name, Jeanette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeanette
Context triple: [Jeanette, name, Jeanette]
  • A. Jeanette
    Jeanette is the given first name of American actress Janet Leigh, famed for her role in Alfred Hitchcock’s film "Psycho."
  • B. Jeanette
    Jeanette is the given first name of American actress Peggy Moran, known for her roles in 1930s and 1940s Hollywood films.
  • C. Jeanette
    Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
  • D. Jeanette
    Jeanette is a Spanish-British singer and actress best known for her soft, melancholic pop songs that became iconic in the Spanish-speaking world during the 1970s.
  • E. Janette
    Janette is a feminine given name of English origin, often considered a diminutive or variant of Janet or Jane.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.