Triple

T4033155
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Half-Blood Prince (film) E83760 entity
Predicate stars P1956 FINISHED
Object Daniel Radcliffe E95151 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 Radcliffe | Statement: [Harry Potter and the Half-Blood Prince (film), stars, Daniel Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Radcliffe
Context triple: [Harry Potter and the Half-Blood Prince (film), stars, Daniel Radcliffe]
  • A. Daniel Radcliffe chosen
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • B. Rupert Grint
    Rupert Grint is an English actor best known for playing Ron Weasley in the Harry Potter film series.
  • C. Harry Melling
    Harry Melling is an English actor known for his role as Dudley Dursley in the Harry Potter film series and for his later work in film and television, including acclaimed character performances in period dramas and thrillers.
  • D. Liam Aiken
    Liam Aiken is an American actor known for his roles as a child and teen in films such as "A Series of Unfortunate Events," "Good Boy!" and "Stepmom."
  • E. Rupert Friend
    Rupert Friend is an English actor known for roles in films like "Pride & Prejudice" and the TV series "Homeland."
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb108fc0819080c8f41da2e558e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563b6d8c8190862597ea39b56de1 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.