Triple
T6901393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sénèque Obin |
E159502
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Obin |
E159502
|
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: Obin | Statement: [Sénèque Obin, familyName, Obin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obin Context triple: [Sénèque Obin, familyName, Obin]
-
A.
Obin
chosen
Obin is a surname most notably associated with Haitian painter Philomé Obin and his family of influential artists.
-
B.
Obetia
Obetia is a small genus of flowering plants in the nettle family Cannabaceae, known for its stinging hairs and occurrence in parts of Africa and nearby regions.
-
C.
Olib
Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
-
D.
Obanliku
Obanliku is a local government area in southeastern Nigeria known for its scenic highland landscapes and cool climate within Cross River State.
-
E.
Opebi
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9603f448190bb9f963c17ca206d |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7512268ec81908e2f751a585cb8da |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:24 p.m.