Triple
T11308734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Buss |
E267782
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Buss |
E197031
|
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: Buss | Statement: [Johnny Buss, familyName, Buss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buss Context triple: [Johnny Buss, familyName, Buss]
-
A.
Buss
chosen
Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
-
B.
The Bus
The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
-
C.
Unibus
Unibus is a classic computer bus architecture developed by Digital Equipment Corporation for its PDP-11 minicomputers, enabling communication between the CPU, memory, and peripherals over a single shared pathway.
-
D.
Badger Bus
Badger Bus is a regional intercity bus company in Wisconsin that provides scheduled passenger service between major cities such as Milwaukee and Madison.
-
E.
Optibús
Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525b4bdb88190b22d64eb65e97d9d |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.