Triple

T10151188
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Grant E232643 entity
Predicate name P16 FINISHED
Object Jennifer Grant E232643 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: Jennifer Grant | Statement: [Jennifer Grant, name, Jennifer Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Grant
Context triple: [Jennifer Grant, name, Jennifer Grant]
  • A. Jennifer Grant chosen
    Jennifer Grant is an American actress and the daughter of classic Hollywood film star Cary Grant.
  • B. Emily Graham
    Emily Graham is the central protagonist of the novel "On the Street Where You Live," around whom the story’s suspenseful events and character developments revolve.
  • C. Kat Graham
    Kat Graham is an American actress, singer, and dancer best known for her role as Bonnie Bennett on the supernatural drama series "The Vampire Diaries."
  • D. Susannah Grant
    Susannah Grant is an American screenwriter, director, and producer best known for writing the film "Erin Brockovich" and creating several television series.
  • E. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e27c2dc8190a5b3173fbcb01114 completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 9:08 p.m.