Triple
T11098407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satou Sabally |
E262436
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Satou Sabally |
E262436
|
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: Satou Sabally | Statement: [Satou Sabally, name, Satou Sabally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satou Sabally Context triple: [Satou Sabally, name, Satou Sabally]
-
A.
Satou Sabally
chosen
Satou Sabally is a German professional basketball player and WNBA All-Star known for her versatility and scoring ability.
-
B.
Aliaune Thiam
Aliaune Thiam, better known as Akon, is a Senegalese-American singer, songwriter, and producer renowned for his global hip-hop and R&B hits and numerous high-profile collaborations.
-
C.
Yaya Sanogo
Yaya Sanogo is a French professional footballer, best known as a former Arsenal striker and France youth international.
-
D.
Eudoxie Mbouguiengue
Eudoxie Mbouguiengue is a Gabonese-born model and philanthropist known for her advocacy work supporting women and as the wife of rapper and actor Ludacris (Christopher Brian Bridges).
-
E.
Antoinette Nana Djimou
Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0b2890819081c4efc50e995cdd |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.