Triple
T21554962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walters |
E531865
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Walters
Michael Walters is a professional Australian rules footballer best known for his career with the Fremantle Dockers in the Australian Football League.
|
E1490458
|
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: Michael Walters | Statement: [Walters, hasNotableBearer, Michael Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Walters Context triple: [Walters, hasNotableBearer, Michael Walters]
-
A.
Justin Walters
Justin Walters is an actor known for his role in the classic British horror film "The Curse of the Werewolf."
-
B.
Don Walters
Don Walters is an American local politician who serves as the mayor of Cuyahoga Falls, Ohio.
-
C.
Stephen Walters
Stephen Walters is a British character actor known for his versatile roles in film and television, including appearances in projects like Hannibal Rising and the series Outlander.
-
D.
Michael Wells
Michael Wells is a musician known for contributing to the song "Setting the Woods on Fire."
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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: Michael Walters Triple: [Walters, hasNotableBearer, Michael Walters]
Generated description
Michael Walters is a professional Australian rules footballer best known for his career with the Fremantle Dockers in the Australian Football League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Walters Target entity description: Michael Walters is a professional Australian rules footballer best known for his career with the Fremantle Dockers in the Australian Football League.
-
A.
Justin Walters
Justin Walters is an actor known for his role in the classic British horror film "The Curse of the Werewolf."
-
B.
Don Walters
Don Walters is an American local politician who serves as the mayor of Cuyahoga Falls, Ohio.
-
C.
Stephen Walters
Stephen Walters is a British character actor known for his versatile roles in film and television, including appearances in projects like Hannibal Rising and the series Outlander.
-
D.
Michael Wells
Michael Wells is a musician known for contributing to the song "Setting the Woods on Fire."
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2de1c248190b303a4a55b022374 |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eee58b088190a5cfcbbe7b095bc6 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09f033a55c81908d221e4b5c9c1b95 |
completed | May 17, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f0cb21a081908afa371741754eaa |
completed | May 17, 2026, 4:46 p.m. |
Created at: April 16, 2026, 6:29 p.m.