Triple
T5722387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Diesel |
E126176
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Diesel |
E356396
|
NE FINISHED |
How this triple was built (2 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: Diesel | Statement: [Rudolf Diesel, familyName, Diesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diesel Context triple: [Rudolf Diesel, familyName, Diesel]
-
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.
Diesel (brand)
chosen
Diesel is an Italian fashion brand known for its premium denim, edgy casualwear, and bold, youth-oriented lifestyle products.
-
C.
Dynamo Diesel
Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
-
D.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
-
E.
Van Doos
Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e6c444819089270b188e60cc67 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a80aefc8190b6ea35ab405ea502 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:46 p.m.