Triple

T3374363
Position Surface form Disambiguated ID Type / Status
Subject Juliette Lewis E71030 entity
Predicate name P16 FINISHED
Object Juliette Lewis E71030 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: Juliette Lewis | Statement: [Juliette Lewis, name, Juliette Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliette Lewis
Context triple: [Juliette Lewis, name, Juliette Lewis]
  • A. Juliette Lewis chosen
    Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
  • B. Christina Ricci
    Christina Ricci is an American actress known for her darkly quirky roles in films such as The Addams Family, Casper, and Sleepy Hollow.
  • C. Dylan Penn
    Dylan Penn is an American model and actress, known for her work in fashion campaigns and film roles as well as being the daughter of actors Sean Penn and Robin Wright.
  • D. Anna Paquin
    Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
  • E. Marissa Ribisi
    Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bf4ad88190a2c49dc30f323a13 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ee84408190b167673d6f7ba6b0 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:13 p.m.