Triple
T11049437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Street |
E261207
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Geoff Bell |
E104629
|
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: Geoff Bell | Statement: [Green Street, starring, Geoff Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Bell Context triple: [Green Street, starring, Geoff Bell]
-
A.
Geoff Bell
chosen
Geoff Bell is a British character actor known for his tough-guy roles in films such as "Green Street," "The Business," and "Kingsman: The Secret Service."
-
B.
Lee Cottrill
Lee Cottrill is the central protagonist of the novel and film "Fools' Parade," around whom the story’s post-prison struggles and conflicts revolve.
-
C.
Colin Blakely
Colin Blakely was a Northern Irish character actor known for his powerful stage work and memorable supporting roles in British and international films of the 1960s–1980s.
-
D.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
E.
Dan Bunting
Dan Bunting is a video game developer best known for his leadership and design work on the Call of Duty series at Treyarch.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c851d5408190b12250a2a1322874 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.