Triple
T661055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell on Wheels |
E11755
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Joe Gayton |
E187164
|
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: Joe Gayton | Statement: [Hell on Wheels, executiveProducer, Joe Gayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Gayton Context triple: [Hell on Wheels, executiveProducer, Joe Gayton]
-
A.
Joe Gayton
chosen
Joe Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
B.
Kevin Chapman
Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
-
C.
Tony Gayton
Tony Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
D.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
-
E.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8a8f35d48190a18cf924bf5f9e45 |
completed | March 8, 2026, 2:41 p.m. |
Created at: March 1, 2026, 7:36 p.m.