Triple
T9560641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodson |
E230661
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Brian Dodson
Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
|
E813701
|
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: Brian Dodson | Statement: [Dodson, usedBy, Brian Dodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Dodson Context triple: [Dodson, usedBy, Brian 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.
Patrick Dodson
Patrick Dodson is an Australian Aboriginal leader, activist, and politician widely regarded as the "father of reconciliation" for his work advancing Indigenous rights and social justice.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Brian Snodgrass
Brian Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
-
E.
Phil Housley
Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
- 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: Brian Dodson Triple: [Dodson, usedBy, Brian Dodson]
Generated description
Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Dodson Target entity description: Brian Dodson is a professional in his field whose work or identity is associated with the name or term "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.
Patrick Dodson
Patrick Dodson is an Australian Aboriginal leader, activist, and politician widely regarded as the "father of reconciliation" for his work advancing Indigenous rights and social justice.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Brian Snodgrass
Brian Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
-
E.
Phil Housley
Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
- 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_69d189ebe80c819099602cc6dedd3769 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:03 p.m.