Triple

T2352644
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Chamber of Secrets (2002 film) E47481 entity
Predicate leadActor P1507 FINISHED
Object Rupert Grint E122218 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: Rupert Grint | Statement: [Harry Potter and the Chamber of Secrets (2002 film), leadActor, Rupert Grint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Grint
Context triple: [Harry Potter and the Chamber of Secrets (2002 film), leadActor, Rupert Grint]
  • A. Rupert Grint chosen
    Rupert Grint is an English actor best known for playing Ron Weasley in the Harry Potter film series.
  • B. Daniel Radcliffe
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • C. Ron Weasley
    Ron Weasley is a loyal and often humorous Gryffindor wizard who is Harry Potter’s best friend and a key member of the trio in the Harry Potter series.
  • D. Tom Felton
    Tom Felton is an English actor best known for playing Draco Malfoy in the Harry Potter film series.
  • 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_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_69aea888b5a881909b1f91562957388d completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:54 p.m.