Triple
T6706132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Lewis |
E153008
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matthew Lewis |
E153008
|
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: Matthew Lewis | Statement: [Matthew Lewis, name, Matthew Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Lewis Context triple: [Matthew Lewis, name, 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.
Matthew Rhodes
Matthew Rhodes is a film producer known for his work on projects such as the psychological thriller "The Voices."
-
E.
James Lyons
James Lyons was an American film editor and occasional screenwriter best known for his frequent collaborations with director Todd Haynes on acclaimed independent films.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0ea8cfc819081affc73603c2cf3 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008aeac08190887a7bf5703b69f4 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.