Triple
T9560649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodson |
E230661
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Dan Dodson
Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
|
E818347
|
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: Dan Dodson | Statement: [Dodson, usedBy, Dan Dodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Dodson Context triple: [Dodson, usedBy, Dan Dodson]
-
A.
Neal Dodson
Neal Dodson is an American film producer known for his work on acclaimed independent and genre films, frequently collaborating with director J.C. Chandor.
-
B.
Brian Dodson
Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
-
C.
Michael Dodson
Michael Dodson is a British mathematician known for his contributions to number theory and Diophantine approximation.
-
D.
Dennis Scott
Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
-
E.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
- 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: Dan Dodson Triple: [Dodson, usedBy, Dan Dodson]
Generated description
Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Dodson Target entity description: Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
-
A.
Neal Dodson
Neal Dodson is an American film producer known for his work on acclaimed independent and genre films, frequently collaborating with director J.C. Chandor.
-
B.
Brian Dodson
Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
-
C.
Michael Dodson
Michael Dodson is a British mathematician known for his contributions to number theory and Diophantine approximation.
-
D.
Dennis Scott
Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
-
E.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994bde0c8190afcba5cb8fa8b984 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af4770f88190b9952c4308c0c384 |
completed | April 5, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d1b06d39b48190adaadbc81b4ffb9a |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1511c7c8190ba7bc691ab2d3a13 |
completed | April 5, 2026, 12:48 a.m. |
Created at: March 30, 2026, 8:03 p.m.