Triple

T2352643
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Chamber of Secrets (2002 film) E47481 entity
Predicate leadActor P1507 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 Chamber of Secrets (2002 film), leadActor, Daniel Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Radcliffe
Context triple: [Harry Potter and the Chamber of Secrets (2002 film), leadActor, 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. Rupert Friend
    Rupert Friend is an English actor known for roles in films like "Pride & Prejudice" and the TV series "Homeland."
  • D. Fionn Whitehead
    Fionn Whitehead is a British actor best known for his breakout leading role in Christopher Nolan’s World War II film "Dunkirk."
  • E. Alex Lawther
    Alex Lawther is an English actor known for his nuanced performances in film and television, including roles in "The Imitation Game," "The End of the F***ing World," and "Black Mirror."
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9631c9a481909a3051ac06afdca7 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.