Triple
T22220981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronde Barber |
E549206
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Ronde |
—
|
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: Ronde | Statement: [Ronde Barber, nickname, Ronde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronde Context triple: [Ronde Barber, nickname, Ronde]
-
A.
Ronde
chosen
Ronde is the nickname of Jamael Orondé Barber, a former NFL cornerback best known for his long and successful career with the Tampa Bay Buccaneers.
-
B.
Rotonde
Rotonde is a major public transport hub in Strasbourg, France, serving as an important interchange point within the city’s bus network.
-
C.
Rosnoën
Rosnoën is a small commune in the Finistère department of Brittany in northwestern France, known for its scenic rural landscapes and proximity to coastal inlets.
-
D.
Koggenland
Koggenland is a rural municipality in the province of North Holland in the Netherlands, known for its agricultural landscape and historic villages.
-
E.
Kleine Brogel
Kleine Brogel is a Belgian Air Component air base in northeastern Belgium known for hosting tactical fighter aircraft and reportedly U.S. nuclear weapons.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b90b1dc81908fee5fab8d5d14a2 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.