Triple
T15974920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillard's |
E387419
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object |
Mike Dillard
Mike Dillard is an American entrepreneur, author, and online marketing expert known for his work in personal development and wealth-building education.
|
E1190577
|
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: Mike Dillard | Statement: [Dillard's, hasKeyPerson, Mike Dillard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dillard Context triple: [Dillard's, hasKeyPerson, Mike Dillard]
-
A.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
B.
Mikal Gilmore
Mikal Gilmore is an American journalist and author best known for his memoir "Shot in the Heart," which explores the troubled history of his family and his brother Gary Gilmore.
-
C.
Dave Jellison
Dave Jellison is a musician known for his association with the American glam metal band Ratt.
-
D.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- 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: Mike Dillard Triple: [Dillard's, hasKeyPerson, Mike Dillard]
Generated description
Mike Dillard is an American entrepreneur, author, and online marketing expert known for his work in personal development and wealth-building education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Dillard Target entity description: Mike Dillard is an American entrepreneur, author, and online marketing expert known for his work in personal development and wealth-building education.
-
A.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
B.
Mikal Gilmore
Mikal Gilmore is an American journalist and author best known for his memoir "Shot in the Heart," which explores the troubled history of his family and his brother Gary Gilmore.
-
C.
Dave Jellison
Dave Jellison is a musician known for his association with the American glam metal band Ratt.
-
D.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572c216c81908f2070d2a87609c2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc6f4c08190b816bf6d92114ad2 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc5fd30c8190aaf66482f24285b4 |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd0392e08190af42a0cdc5dd4c1f |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:54 a.m.