Triple
T18694017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Κάνδυβος |
E457068
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Candybus |
—
|
NE NERFINISHED |
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: Candybus | Statement: [Κάνδυβος, hasNameVariant, Candybus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candybus Context triple: [Κάνδυβος, hasNameVariant, Candybus]
-
A.
Candybus
chosen
Candybus is a minor figure in Greek mythology known primarily as a child of Deucalion.
-
B.
Candy Ride
Candy Ride is a champion Argentine-bred Thoroughbred racehorse and successful sire known for his unbeaten career and influential progeny in North American racing.
-
C.
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.
-
D.
The Bus
The Bus is the public transportation system serving the Marble Valley region, providing local and regional bus services for residents and visitors.
-
E.
The Bus
The Bus is the nickname of Jerome Bettis, a Hall of Fame NFL running back renowned for his powerful, bruising rushing style with the Pittsburgh Steelers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.