Triple
T20211428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neville Longbottom |
E493494
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Matthew Lewis |
—
|
NE NERFINISHED |
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: Matthew Lewis | Statement: [Neville Longbottom, portrayedBy, Matthew Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Lewis Context triple: [Neville Longbottom, portrayedBy, Matthew Lewis]
-
A.
Matthew Lewis
chosen
Matthew Lewis is an English actor best known for playing Neville Longbottom in the Harry Potter film series.
-
B.
Matthew Lewis
Matthew Lewis was the father of English Gothic novelist and playwright Matthew Gregory Lewis, best known for his son’s authorship of the novel "The Monk."
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Alex Munday
Alex Munday is a stylish, tech-savvy private investigator and martial arts expert from the Charlie’s Angels film series.
-
E.
Stephen Healey
Stephen Healey is an individual notable enough to be recognized as a namesake of the surname Healey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.