Triple
T12276920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayfawa dynasty |
E292610
|
entity |
| Predicate | titleOfRuler |
P10605
|
FINISHED |
| Object | Mai |
E208971
|
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: Mai | Statement: [Sayfawa dynasty, titleOfRuler, Mai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mai Context triple: [Sayfawa dynasty, titleOfRuler, Mai]
-
A.
Mai
Mai is the middle name of the individual Kaori Mai Hart.
-
B.
Mai
chosen
Mai is the traditional royal title used for rulers in Kanuri society, historically associated with the kings of the Kanem-Bornu Empire in the Lake Chad region.
-
C.
Mai Henry
Mai Henry is the former wife of American businessman and sports team owner John W. Henry.
-
D.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
-
E.
Mia
Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.