Triple

T21718726
Position Surface form Disambiguated ID Type / Status
Subject The Ticket E536098 entity
Predicate starring P1507 FINISHED
Object Dan Stevens 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: Dan Stevens | Statement: [The Ticket, starring, Dan Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Stevens
Context triple: [The Ticket, starring, Dan Stevens]
  • A. Dan Stevens chosen
    Dan Stevens is a British actor best known for his roles in the TV series "Downton Abbey," the live-action film "Beauty and the Beast," and various stage and screen productions.
  • B. Josh O'Connor
    Josh O'Connor is a British actor best known for his acclaimed portrayal of Prince Charles in the television series "The Crown" and roles in films such as "God's Own Country."
  • C. Matthew Reeve
    Matthew Reeve is a British-American filmmaker and activist, known for his documentary work and for continuing the legacy of his father, actor and disability advocate Christopher Reeve.
  • D. Bradley James
    Bradley James is an English actor best known for portraying Prince Arthur in the BBC fantasy series "Merlin."
  • E. Ben Barnes
    Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96cc58081908dda09819041b888 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.