Triple

T21490673
Position Surface form Disambiguated ID Type / Status
Subject Foundation (TV series) E530226 entity
Predicate star P23405 FINISHED
Object Ben Daniels NE NERFINISHED

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: Ben Daniels | Statement: [Foundation (TV series), star, Ben Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Daniels
Context triple: [Foundation (TV series), star, Ben Daniels]
  • A. Ben Daniels chosen
    Ben Daniels is an English actor known for his work in film, television, and theatre, including roles in projects such as the 2005 film adaptation of "Doom" and the series "The Exorcist" and "House of Cards."
  • B. Luke Daniels
    Luke Daniels is a film producer known for his work on the Western thriller "Outlaws and Angels."
  • C. Martin Daniels
    Martin Daniels is a British entertainer and magician, known for his television appearances and for being the son of famed magician Paul Daniels.
  • D. Adam Davenport
    Adam Davenport is a bionic teenager with super strength and limited intelligence from the Disney XD series "Lab Rats."
  • E. Danny Marcus Daniels
    Danny Marcus Daniels is the birth name of American television director and actor Marc Daniels, known for his pioneering work on early TV series such as "I Love Lucy" and "Star Trek."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.