Triple
T23371174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pike Bishop |
E593475
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Deke Thornton |
—
|
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: Deke Thornton | Statement: [Pike Bishop, enemyOf, Deke Thornton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deke Thornton Context triple: [Pike Bishop, enemyOf, Deke Thornton]
-
A.
Deke Thornton
chosen
Deke Thornton is a conflicted former outlaw turned reluctant bounty hunter in Sam Peckinpah’s Western film "The Wild Bunch."
-
B.
Deke Richards
Deke Richards was an American songwriter and record producer best known as a key member of Motown’s “The Corporation” team that created many of the Jackson 5’s early hits.
-
C.
Deke
Deke was the nickname of Deke Slayton, one of NASA’s original Mercury Seven astronauts and later a key figure in the early U.S. human spaceflight program.
-
D.
Joe "Deke" Deacon
Joe "Deke" Deacon is a haunted former Los Angeles County sheriff’s detective whose obsessive pursuit of a serial killer drives the psychological crime thriller film *The Little Things*.
-
E.
Darby Drecker
Darby Drecker is a fictional character from the TV series "Hung."
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.