Triple
T10494969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavin & Stacey |
E247513
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mathew Horne |
E860653
|
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: Mathew Horne | Statement: [Gavin & Stacey, starring, Mathew Horne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathew Horne Context triple: [Gavin & Stacey, starring, Mathew Horne]
-
A.
Aidan Chambers
Aidan Chambers is a British author and critic best known for his innovative and award-winning young adult novels, including the Carnegie Medal–winning "Postcards from No Man’s Land."
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Matthew James Wilkinson
Matthew James Wilkinson is a film producer known for his work on the British coming-of-age comedy-drama "Days of the Bagnold Summer."
-
D.
Matt Horne
chosen
Matt Horne is a British actor and comedian best known for his work on the television series "Gavin & Stacey" and various sketch and comedy shows.
-
E.
Thomas Sangster
Thomas Sangster is a British actor best known for his roles in "Love Actually," "The Maze Runner" series, and the TV series "The Queen's Gambit."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b31de8c8190996df69ae02278f8 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:24 p.m.