Triple

T7644243
Position Surface form Disambiguated ID Type / Status
Subject Kristen Bell E173081 entity
Predicate fullName P16 FINISHED
Object Kristen Anne Bell E173081 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: Kristen Anne Bell | Statement: [Kristen Bell, fullName, Kristen Anne Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Anne Bell
Context triple: [Kristen Bell, fullName, Kristen Anne Bell]
  • A. Kristen Bell chosen
    Kristen Bell is an American actress and singer best known for her roles in the TV series "Veronica Mars" and "The Good Place," as well as her voice work in Disney animated films.
  • B. Jessica Biel
    Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
  • C. Kate Bosworth
    Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
  • D. Jessica Alba
    Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
  • E. Katherine Heigl
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.