Triple
T9560660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodson |
E230661
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Terry Dodson
Terry Dodson is an American comic book artist best known for his dynamic, polished artwork on major Marvel and DC titles such as X-Men, Wonder Woman, and Harley Quinn.
|
E826356
|
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: Terry Dodson | Statement: [Dodson, usedBy, Terry Dodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Dodson Context triple: [Dodson, usedBy, Terry Dodson]
-
A.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
B.
Terry Wilkerson
Terry Wilkerson is a television producer best known for serving as an executive producer on the influential talk show "The Oprah Winfrey Show."
-
C.
Terry Davis
Terry Davis is a British Labour politician who served as Secretary General of the Council of Europe and was previously a long-standing Member of Parliament in the UK.
-
D.
Terry Davis
Terry Davis was an American programmer best known for creating the operating system TempleOS and for his eccentric online presence influenced by mental illness.
-
E.
Dan Dodson
Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
- 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: Terry Dodson Triple: [Dodson, usedBy, Terry Dodson]
Generated description
Terry Dodson is an American comic book artist best known for his dynamic, polished artwork on major Marvel and DC titles such as X-Men, Wonder Woman, and Harley Quinn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terry Dodson Target entity description: Terry Dodson is an American comic book artist best known for his dynamic, polished artwork on major Marvel and DC titles such as X-Men, Wonder Woman, and Harley Quinn.
-
A.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
B.
Terry Wilkerson
Terry Wilkerson is a television producer best known for serving as an executive producer on the influential talk show "The Oprah Winfrey Show."
-
C.
Terry Davis
Terry Davis is a British Labour politician who served as Secretary General of the Council of Europe and was previously a long-standing Member of Parliament in the UK.
-
D.
Terry Davis
Terry Davis was an American programmer best known for creating the operating system TempleOS and for his eccentric online presence influenced by mental illness.
-
E.
Dan Dodson
Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
- 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_69d1e3f04358819098b2cef9272cbc19 |
completed | April 5, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69d1e6372cec8190b7d6b32da197d89c |
completed | April 5, 2026, 4:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e6af89f88190abe63f8172182f58 |
completed | April 5, 2026, 4:35 a.m. |
Created at: March 30, 2026, 8:03 p.m.