Triple
T661057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell on Wheels |
E11755
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
|
E107676
|
NE FINISHED |
How this triple was built (4 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: Jeremy Gold | Statement: [Hell on Wheels, executiveProducer, Jeremy Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Gold Context triple: [Hell on Wheels, executiveProducer, Jeremy Gold]
-
A.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
-
B.
John Merrill
John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeremy Gold Triple: [Hell on Wheels, executiveProducer, Jeremy Gold]
Generated description
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeremy Gold Target entity description: Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
A.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
-
B.
John Merrill
John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
- F. None of above. chosen
Provenance (5 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_69a7c7074cc88190912969a1ba0a8c6e |
completed | March 4, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69a7cb421ef08190817648ff69923160 |
completed | March 4, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7cb9f001881909164cf19b0c86f32 |
completed | March 4, 2026, 6:05 a.m. |
Created at: March 1, 2026, 7:36 p.m.