Triple
T15289467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bad Guys |
E365488
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Richard Ayoade |
E236150
|
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: Richard Ayoade | Statement: [The Bad Guys, voiceActor, Richard Ayoade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Ayoade Context triple: [The Bad Guys, voiceActor, Richard Ayoade]
-
A.
Richard Ayoade
chosen
Richard Ayoade is a British actor, comedian, writer, and director best known for his role in "The IT Crowd" and his distinctive deadpan comedic style.
-
B.
Stephen Merchant
Stephen Merchant is an English comedian, writer, director, and actor best known as the co-creator of the acclaimed TV series "The Office" and frequent collaborator of Ricky Gervais.
-
C.
Paul King
Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
-
D.
Paul King
Paul King is a screenwriter and storyteller known for contributing to the narrative of the classic submarine comedy film "Operation Petticoat."
-
E.
Adam McKay
Adam McKay is an American filmmaker and screenwriter known for his sharp political and social satires, including films like "The Big Short" and "Vice."
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7d4da4819080f101c3a525ea11 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.