Triple
T3290241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Coogan |
E69082
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Coogan |
E69082
|
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: Steve Coogan | Statement: [Steve Coogan, name, Steve Coogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Coogan Context triple: [Steve Coogan, name, Steve Coogan]
-
A.
Steve Coogan
chosen
Steve Coogan is an English actor, comedian, writer, and producer known for his character Alan Partridge and a wide range of film and television roles.
-
B.
Rob Brydon
Rob Brydon is a Welsh actor, comedian, impressionist, and presenter best known for his work on British television series such as "Gavin & Stacey" and "The Trip."
-
C.
Ian Hart
Ian Hart is an English actor known for his versatile character roles in film and television, including his portrayal of Professor Quirrell in "Harry Potter and the Philosopher's Stone."
-
D.
Jack Whitehall
Jack Whitehall is a British comedian, actor, and writer known for his stand-up comedy and roles in series like "Fresh Meat" and "Bad Education," as well as various film and presenting work.
-
E.
Chris O'Dowd
Chris O'Dowd is an Irish actor and comedian best known for his roles in the sitcom "The IT Crowd" and various film comedies.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05bd6b08190bcb9f0e5da82bc21 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3cfec98819094208d2cb6e459ea |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.