Triple
T15009000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esselen |
E377784
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Esselenian |
E377784
|
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: Esselenian | Statement: [Esselen, hasAlternativeName, Esselenian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esselenian Context triple: [Esselen, hasAlternativeName, Esselenian]
-
A.
Esselen
chosen
Esselen is a nearly extinct Native American language once spoken by the Esselen people of the central California coast.
-
B.
Tarrinzean
Tarrinzean is a Scottish place or estate whose name was adopted for the title "Lord Tarrinzean and Mauchline."
-
C.
Eliossana
Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
-
D.
Tevanian
Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
-
E.
Asselian
The Asselian is the earliest age of the Permian Period, marking the beginning of the Cisuralian epoch in the geologic timescale.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.