Triple
T17817521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambert Wilson |
E444885
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lambert Wilson |
—
|
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: Lambert Wilson | Statement: [Lambert Wilson, name, Lambert Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambert Wilson Context triple: [Lambert Wilson, name, Lambert Wilson]
-
A.
Lambert Wilson
chosen
Lambert Wilson is a French actor best known internationally for his role as the Merovingian in The Matrix film series, alongside an extensive career in French cinema and theater.
-
B.
Jonathan Gullis
Jonathan Gullis is a British Conservative Party politician who has served as the Member of Parliament for Stoke-on-Trent North since 2019.
-
C.
Douglas Hodge
Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
-
D.
Gordon Pinsent
Gordon Pinsent was a celebrated Canadian actor, writer, and director known for his prolific film, television, and stage career spanning several decades.
-
E.
Richard Coyle
Richard Coyle is a British actor best known for his roles in television series such as "Coupling" and "Chilling Adventures of Sabrina," as well as various film and stage productions.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48880457c81908214741d6cd7a1ee |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.