Triple
T3791362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupelo, Mississippi |
E89654
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object |
Jim Weatherly
Jim Weatherly was an American country singer-songwriter best known for writing hits such as “Midnight Train to Georgia.”
|
E394344
|
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: Jim Weatherly | Statement: [Tupelo, Mississippi, hasNotablePerson, Jim Weatherly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Weatherly Context triple: [Tupelo, Mississippi, hasNotablePerson, Jim Weatherly]
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
D.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
E.
James Wilby
James Wilby is an English actor known for his roles in period dramas and acclaimed British films such as "Maurice" and "Howards End."
- 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: Jim Weatherly Triple: [Tupelo, Mississippi, hasNotablePerson, Jim Weatherly]
Generated description
Jim Weatherly was an American country singer-songwriter best known for writing hits such as “Midnight Train to Georgia.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Weatherly Target entity description: Jim Weatherly was an American country singer-songwriter best known for writing hits such as “Midnight Train to Georgia.”
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
D.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
E.
James Wilby
James Wilby is an English actor known for his roles in period dramas and acclaimed British films such as "Maurice" and "Howards End."
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7687c4481908d5e6988e2638b68 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5121874e8819088f79e1cf771a73a |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b512e3721c8190accd26499191c153 |
completed | March 14, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513618b888190acda94dcc91d24d2 |
completed | March 14, 2026, 7:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.