Triple

T10558288
Position Surface form Disambiguated ID Type / Status
Subject Dylan Penn E249146 entity
Predicate name P16 FINISHED
Object Dylan Penn E249146 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: Dylan Penn | Statement: [Dylan Penn, name, Dylan Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Penn
Context triple: [Dylan Penn, name, Dylan Penn]
  • A. Dylan Penn chosen
    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.
  • B. Juliette Lewis
    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.
  • C. Natalie Zea
    Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
  • D. Kate Bosworth
    Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
  • E. Jena Malone
    Jena Malone is an American actress and musician known for her versatile roles in independent films and major franchises such as "Donnie Darko," "Pride & Prejudice," and "The Hunger Games" series.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9988fca088190b13b651985677a6a completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:35 p.m.