Triple
T12951397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Clarke |
E309900
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Noel Clarke |
E309900
|
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: Noel Clarke | Statement: [Noel Clarke, name, Noel Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Clarke Context triple: [Noel Clarke, name, Noel Clarke]
-
A.
Noel Clarke
chosen
Noel Clarke is a British actor, writer, and director best known for his roles in Doctor Who and the Kidulthood film series.
-
B.
Danny Dyer
Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
-
C.
James Groves
James Groves is a person notable enough to be specifically cited as a bearer of the surname Groves.
-
D.
Eddie Marsan
Eddie Marsan is a British character actor known for his versatile performances in film and television, including roles in projects like "Ray Donovan," "Happy-Go-Lucky," and numerous Guy Ritchie films.
-
E.
Mackenzie Crook
Mackenzie Crook is an English actor, comedian, writer, and director best known for his roles in "The Office" (UK), the "Pirates of the Caribbean" film series, and the TV series "Detectorists," which he also created.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbf0fb08190aeb1697714942c2b |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.