Triple
T22909591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Willoughbys |
E568553
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Ricky Gervais |
—
|
NE NERFINISHED |
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: Ricky Gervais | Statement: [The Willoughbys, narrator, Ricky Gervais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricky Gervais Context triple: [The Willoughbys, narrator, Ricky Gervais]
-
A.
Ricky Gervais
chosen
Ricky Gervais is an English comedian, actor, writer, and director best known for co-creating and starring in the original UK version of the television series "The Office."
-
B.
Bob Gervais
Bob Gervais is known primarily as the brother of British comedian, actor, and writer Ricky Gervais.
-
C.
Richard Herring
Richard Herring is a British comedian, writer, and podcaster known for his stand-up work, radio and TV comedy, and influential comedy podcasts.
-
D.
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."
-
E.
Peter Kay
Peter Kay is a British stand-up comedian, actor, and writer known for his observational humor and popular television comedies such as "Phoenix Nights."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807350008190a057e8fb5c363c5f |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.