Triple
T19999601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhinoceros |
E494281
|
entity |
| Predicate | centralCharacter |
P9202
|
FINISHED |
| Object | Bérenger |
—
|
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: Bérenger | Statement: [Rhinoceros, centralCharacter, Bérenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bérenger Context triple: [Rhinoceros, centralCharacter, Bérenger]
-
A.
Berenger
chosen
Berenger is a masculine given name and surname of Germanic origin, commonly found in various European cultures with multiple spelling variants.
-
B.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
C.
Ado of Jouarre
Ado of Jouarre was an early medieval religious figure known as the founder and first leader associated with the influential Abbey of Jouarre in France.
-
D.
Val Montjoie
Val Montjoie is a scenic alpine valley in the French Alps, known for its traditional villages, mountain landscapes, and access to the Mont Blanc massif.
-
E.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.