Triple
T16552208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise |
E402098
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Amina |
E146613
|
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: Amina | Statement: [Paradise, mainCharacter, Amina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amina Context triple: [Paradise, mainCharacter, Amina]
-
A.
Amina
chosen
Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
-
B.
Amina
Amina is a feminine given name used in various cultures, often associated with meanings like "trustworthy" or "faithful" and known as the name of the Prophet Muhammad’s mother in Islamic tradition.
-
C.
Asmaa
Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
-
D.
Aisha
Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
-
E.
Aisha
Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc6735481908b59bbf80fb3469b |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b87b608190950b8f14e6aceed3 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.