Triple
T14677426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliyah Khondji |
E344681
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Khondji |
E346318
|
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: Khondji | Statement: [Aliyah Khondji, familyName, Khondji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khondji Context triple: [Aliyah Khondji, familyName, Khondji]
-
A.
Khondji
chosen
Khondji is the surname of Darius Khondji, a renowned cinematographer known for his visually distinctive work on international films.
-
B.
Koussassé
Koussassé is an alternative name for the Kusaal language, a Gur language spoken primarily in northern Ghana and parts of Burkina Faso.
-
C.
Makouda
Makouda is a town and commune located in northern Algeria within the Kabylie region.
-
D.
Tshikapa
Tshikapa is a significant diamond-mining city in the Democratic Republic of the Congo, serving as an important commercial and transport hub in the Kasai region.
-
E.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17e5a1c8190b1bf5565eab9d519 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.