Triple
T16845797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell Bent |
E409534
|
entity |
| Predicate | starsActor |
P5563
|
FINISHED |
| Object | Ken Bones |
E1227696
|
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: Ken Bones | Statement: [Hell Bent, starsActor, Ken Bones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Bones Context triple: [Hell Bent, starsActor, Ken Bones]
-
A.
Ken Bones
chosen
Ken Bones is a British actor best known to many viewers for his recurring role as the General in the long-running science fiction series Doctor Who.
-
B.
Kevin Weeks
Kevin Weeks is a former Boston Irish mob enforcer best known as a close associate and right-hand man of notorious crime boss Whitey Bulger.
-
C.
Charlie Matheson
Charlie Matheson is a central protagonist in the post-apocalyptic television series "Revolution," known for her determination and leadership as she navigates a world without electricity.
-
D.
Adam Burrows
Adam Burrows is an American astrophysicist renowned for his theoretical work on supernovae, neutron stars, and exoplanets, and for his long-standing faculty role at Princeton University.
-
E.
Brant Broughton
Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3541a008190b2a97cfea92b170f |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1b47648190909eaaf4e1e8e4c3 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.