Triple

T3249284
Position Surface form Disambiguated ID Type / Status
Subject Frozen II E68136 entity
Predicate voiceCastMember P9616 FINISHED
Object Kristen 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 Bell | Statement: [Frozen II, voiceCastMember, Kristen Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Bell
Context triple: [Frozen II, voiceCastMember, Kristen 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. Zooey Deschanel
    Zooey Deschanel is an American actress, singer, and songwriter known for her quirky, offbeat roles in films like "500 Days of Summer" and the TV series "New Girl."
  • C. Kate Bosworth
    Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
  • D. Rose Byrne
    Rose Byrne is an Australian actress known for her versatile performances in films such as Bridesmaids, Neighbors, and X-Men: First Class, as well as the TV series Damages.
  • E. 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."
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.