Triple
T9902985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarbanes |
E182331
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sarbanos |
E120022
|
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: Sarbanos | Statement: [Sarbanes, hasVariant, Sarbanos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarbanos Context triple: [Sarbanes, hasVariant, Sarbanos]
-
A.
Saran
Saran is a commune in north-central France located in the Loiret department, near the city of Orléans.
-
B.
Sarandos
chosen
Sarandos is the surname of Ted Sarandos, the longtime chief content officer and co-CEO of Netflix known for shaping the company’s original programming strategy.
-
C.
Sarakatsani
The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
-
D.
Sardent
Sardent is a small rural commune in central France, best known as the village setting of Claude Chabrol’s film *Le Beau Serge*.
-
E.
Sark
Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e391888190a3f5e5a1bf1cf9ff |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d9e132c8190a68f94e4cfd36c56 |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:40 p.m.