Triple
T16063746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan-Michael Vincent |
E389678
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hooper |
E899728
|
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: Hooper | Statement: [Jan-Michael Vincent, notableWork, Hooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hooper Context triple: [Jan-Michael Vincent, notableWork, Hooper]
-
A.
Hooper
Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
-
B.
Hooper
Hooper was a renowned British coachbuilding firm celebrated for crafting bespoke luxury car bodies for marques such as Bentley and Rolls-Royce.
-
C.
Hooper
chosen
Hooper is a 1978 action-comedy film starring Burt Reynolds as an aging Hollywood stuntman facing the limits of his dangerous profession.
-
D.
Grotton
Grotton is a small settlement in Greater Manchester, England, situated near the town of Lees within the Metropolitan Borough of Oldham.
-
E.
Haralson
Haralson is an unincorporated rural community located in Coweta County, Georgia, United States.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ca9748190be24a490c3cf0e8c |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.