Triple
T20490184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory D. Gadson |
E502722
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gadson
Gadson is a surname most notably associated with Gregory D. Gadson, a retired U.S. Army colonel, double amputee, motivational speaker, and actor.
|
E1434070
|
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: Gadson | Statement: [Gregory D. Gadson, familyName, Gadson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gadson Context triple: [Gregory D. Gadson, familyName, Gadson]
-
A.
Goodson
Goodson is a surname of English origin borne by various notable individuals across different fields.
-
B.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
-
C.
Gipson
Gipson is a surname most notably associated with American author Fred Gipson, best known for writing the classic novel "Old Yeller."
-
D.
Garron
Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
-
E.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
- 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: Gadson Triple: [Gregory D. Gadson, familyName, Gadson]
Generated description
Gadson is a surname most notably associated with Gregory D. Gadson, a retired U.S. Army colonel, double amputee, motivational speaker, and actor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gadson Target entity description: Gadson is a surname most notably associated with Gregory D. Gadson, a retired U.S. Army colonel, double amputee, motivational speaker, and actor.
-
A.
Goodson
Goodson is a surname of English origin borne by various notable individuals across different fields.
-
B.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
-
C.
Gipson
Gipson is a surname most notably associated with American author Fred Gipson, best known for writing the classic novel "Old Yeller."
-
D.
Garron
Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
-
E.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893b3c77c81908aedd753ec251577 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08953618088190a9336d0ab6445c9d |
completed | May 16, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0895c4a0a48190ba43d065c9766fd8 |
completed | May 16, 2026, 4:05 p.m. |
Created at: April 16, 2026, 11:35 a.m.