Triple

T3068029
Position Surface form Disambiguated ID Type / Status
Subject Megan Leavey E62152 entity
Predicate starring P1507 FINISHED
Object Tom Felton E118209 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: Tom Felton | Statement: [Megan Leavey, starring, Tom Felton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Felton
Context triple: [Megan Leavey, starring, Tom Felton]
  • A. Tom Felton chosen
    Tom Felton is an English actor best known for playing Draco Malfoy 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. Daniel Radcliffe
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • D. Jonathan Rhys Meyers
    Jonathan Rhys Meyers is an Irish actor best known for his roles in films like "Match Point" and the TV series "The Tudors," in which he portrayed King Henry VIII.
  • E. Gregor Fisher
    Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1972e08190942a068c0c563e52 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.