Triple

T14874115
Position Surface form Disambiguated ID Type / Status
Subject Phoebe in Wonderland E349822 entity
Predicate writer P1360 FINISHED
Object Daniel Barnz E881480 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: Daniel Barnz | Statement: [Phoebe in Wonderland, writer, Daniel Barnz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Barnz
Context triple: [Phoebe in Wonderland, writer, Daniel Barnz]
  • A. Daniel Barnz chosen
    Daniel Barnz is an American film director and screenwriter known for character-driven dramas such as "Cake" and "Won't Back Down."
  • B. Daniel Drawbaugh
    Daniel Drawbaugh was an American inventor who claimed to have created a working telephone before Alexander Graham Bell, becoming a central figure in legal disputes over the invention’s true origin.
  • C. Michael Barnathan
    Michael Barnathan is an American film producer known for working on major studio hits such as the "Night at the Museum" series and the "Harry Potter" films.
  • D. David Burrows
    David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
  • E. Andrew Barker
    Andrew Barker is a British electronic musician best known as a member of the influential Manchester acid house and techno group 808 State.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9687a5888190a6e6ffd781f64edc completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:55 a.m.