Triple
T20439208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Plater |
E501337
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alan Plater |
—
|
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: Alan Plater | Statement: [Alan Plater, name, Alan Plater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Plater Context triple: [Alan Plater, name, Alan Plater]
-
A.
Alan Plater
chosen
Alan Plater was a British playwright and screenwriter known for his prolific work in television, radio, and theatre, often celebrated for his witty, character-driven dramas.
-
B.
Michael Buckland
Michael Buckland is an American information scientist and librarian known for his influential work on information retrieval, library services, and the theory of information systems.
-
C.
Alan Statham
Alan Statham is a socially awkward, pompous, and often inept radiologist known for his bizarre behavior and unrequited love interests in the British comedy series "Green Wing."
-
D.
Ian Furner
Ian Furner is an academic known for supervising the doctoral research of prominent plant biologist Dame Ottoline Leyser.
-
E.
John Platt
John Platt was a British politician who served as a Member of Parliament for the Caernarvon Boroughs constituency.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f112e48190a3af818c0f6ee839 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.