Triple
T10475143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Célestine Ann Beyincé |
E247024
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beyincé |
E247032
|
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: Beyincé | Statement: [Célestine Ann Beyincé, familyName, Beyincé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beyincé Context triple: [Célestine Ann Beyincé, familyName, Beyincé]
-
A.
Beyincé
chosen
Beyincé is the maiden surname of Tina Knowles, mother of singer Beyoncé, and a family name associated with the Knowles-Beyoncé family.
-
B.
Kankia
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
-
C.
Saray
Saray is a town and district in Turkey’s Tekirdağ Province, located in the European part of the country (Thrace) and known for its agricultural surroundings and growing local industry.
-
D.
Pylia
Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
-
E.
Ebebiyín
Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094f6b408190a5a26b1a82e4a02b |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0140f4c81908ce95b28e09cb04b |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:21 p.m.