Triple
T5579914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayn al-Qasrayn |
E146614
|
entity |
| Predicate | notableCharacter |
P1481
|
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: [Bayn al-Qasrayn, notableCharacter, Amina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amina Context triple: [Bayn al-Qasrayn, notableCharacter, 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.
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.
-
C.
Aisha
Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
-
D.
Aisha
Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
-
E.
Aisha
Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206d62548190b8a3c6efc1825661 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d26856c8190bdda69a049df1c10 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.