Triple
T14645308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansa Musa |
E343830
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mali Musa |
E1113801
|
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: Mali Musa | Statement: [Mansa Musa, alsoKnownAs, Mali Musa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mali Musa Context triple: [Mansa Musa, alsoKnownAs, Mali Musa]
-
A.
Mahamudu
Mahamudu is the given name of Mahamudu Bawumia, a prominent Ghanaian economist and politician who has served as Vice President of Ghana.
-
B.
Moussa Mara
Moussa Mara is a Malian politician who served as Prime Minister of Mali and has been active in public administration and governance reform.
-
C.
Kankan Musa
chosen
Kankan Musa is another name for Mansa Musa, the 14th-century emperor of the Mali Empire renowned for his immense wealth and lavish pilgrimage to Mecca.
-
D.
Si Moussa
Si Moussa was a powerful 19th-century grand vizier of Morocco who served under Sultan Hassan I and commissioned the opulent Bahia Palace in Marrakech.
-
E.
Moussa
Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07acd748190b2821dee21ecd740 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:26 a.m.