Triple
T8576143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Miles |
E203052
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Miles
Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
|
E743687
|
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: Miles | Statement: [Ken Miles, familyName, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Ken Miles, familyName, Miles]
-
A.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
B.
Miles
Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
-
C.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
-
D.
Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
-
E.
Miles
Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
- 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: Miles Triple: [Ken Miles, familyName, Miles]
Generated description
Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miles Target entity description: Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
-
A.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
B.
Miles
Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
-
C.
Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
-
D.
Miles
Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
-
E.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce899dd7d48190b44338b92ad68bd0 |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8c7ad5cc8190a50c8e15ce353d1d |
completed | April 2, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d595d80819093a1b849bcb3c7c7 |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:21 p.m.