Triple

T1009963
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Deathly Hallows – Part 2 E21798 entity
Predicate stars P1956 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 Deathly Hallows – Part 2, stars, Rupert Grint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Grint
Context triple: [Harry Potter and the Deathly Hallows – Part 2, stars, 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. Thomas Brodie-Sangster
    Thomas Brodie-Sangster is an English actor known for his roles in projects such as "Nanny McPhee," "The Maze Runner" series, and "Game of Thrones."
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a3cb608190a2de34a09cd55146 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c0ef95081909ddc4ec480248572 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.