Triple
T1385699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Westmoreland |
E29838
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Westy
Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
|
E157791
|
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: Westy | Statement: [William Westmoreland, nickname, Westy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westy Context triple: [William Westmoreland, nickname, Westy]
-
A.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
B.
Red Duster
The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
-
C.
Sideswipe
Sideswipe is an Autobot warrior from the Transformers franchise, typically portrayed as a sleek, high-speed combat specialist.
-
D.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
E.
Whizzer
Whizzer was the well-known nickname of Byron Raymond White, a prominent American football player who later became an Associate Justice of the U.S. Supreme Court.
- 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: Westy Triple: [William Westmoreland, nickname, Westy]
Generated description
Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westy Target entity description: Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
-
A.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
B.
Red Duster
The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
-
C.
Sideswipe
Sideswipe is an Autobot warrior from the Transformers franchise, typically portrayed as a sleek, high-speed combat specialist.
-
D.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
E.
Whizzer
Whizzer was the well-known nickname of Byron Raymond White, a prominent American football player who later became an Associate Justice of the U.S. Supreme Court.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c339f3d481909c04b14129899945 |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48e046c8190bc4820d6c4ce907d |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd57bf87c8190ad22de7b5636fcfc |
completed | March 8, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd5e54e98819084ba0022ca64ff43 |
completed | March 8, 2026, 1:50 a.m. |
Created at: March 1, 2026, 7:59 p.m.