Triple
T22106368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisha |
E546296
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object | Aicha |
—
|
NE NERFINISHED |
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: Aicha | Statement: [Aisha, variantForm, Aicha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aicha Context triple: [Aisha, variantForm, Aicha]
-
A.
Aïcha
chosen
Aïcha is a feminine given name of Arabic origin, commonly used in various cultures and often associated with the name Aisha.
-
B.
Aziza
Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
-
C.
Aziza
Aziza is a central fictional character in the television miniseries "The Dovekeepers," which dramatizes the lives of women during the siege of Masada in ancient Judea.
-
D.
Aicha of Morocco
Aicha of Morocco was a Moroccan princess and daughter of King Mohammed V, known for her pioneering role in promoting women's rights and modernization in Morocco.
-
E.
Yasmina
Yasmina is the given first name of French actress Isabelle Adjani, reflecting her Algerian heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12919dd388190b8ca08e2464cb0b8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.