Triple
T13098399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassey Otu |
E310650
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bassey |
E477395
|
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: Bassey | Statement: [Bassey Otu, givenName, Bassey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassey Context triple: [Bassey Otu, givenName, Bassey]
-
A.
Bassey
chosen
Bassey is a surname most famously associated with Welsh singer Shirley Bassey, renowned for her powerful voice and iconic James Bond theme songs.
-
B.
Elea
Elea was an ancient Greek city in southern Italy, best known as the home of the Eleatic school of philosophy associated with Parmenides.
-
C.
Bonson
Bonson is a small French commune located in the Alpes-Maritimes department in southeastern France, within the metropolitan area of Nice.
-
D.
Sama Ubian
Sama Ubian is a subgroup of the maritime Sama-Bajau ethnic communities of Southeast Asia, traditionally known for seafaring and coastal livelihoods.
-
E.
Barasa
Barasa is a tribal group indigenous to eastern Libya, traditionally associated with the region’s Bedouin Arab communities and local social structure.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d619b82c819093d0d98db88eb9ae |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.