Triple
T20207647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Pickard |
E493395
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Pickard |
—
|
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: John Pickard | Statement: [John Pickard, name, John Pickard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Pickard Context triple: [John Pickard, name, John Pickard]
-
A.
John Pickard
chosen
John Pickard is a British actor best known for his roles in television series such as Hollyoaks and Emmerdale.
-
B.
James Pickering
James Pickering is an individual notable enough to be recognized as a prominent bearer of the Pickering surname.
-
C.
William Pearce
William Pearce was a British official who formerly served as His Majesty’s Chief Inspector of Prisons, overseeing the inspection and regulation of prison conditions in the United Kingdom.
-
D.
Charles Pritchard
Charles Pritchard was a 19th-century British astronomer and clergyman known for his pioneering work in stellar photometry and his influential role in developing observational astronomy at Oxford.
-
E.
John Heaton
John Heaton is an American economist known for his work in asset pricing and macro-finance, particularly on consumption-based models of financial markets.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d934f808190bbfeb96f5bf2dfb9 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.