Triple
T1533551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruqayyah bint Muhammad |
E32499
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ruqayyah |
E32499
|
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: Ruqayyah | Statement: [Ruqayyah bint Muhammad, givenName, Ruqayyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruqayyah Context triple: [Ruqayyah bint Muhammad, givenName, Ruqayyah]
-
A.
Ruqayyah bint Muhammad
chosen
Ruqayyah bint Muhammad was a daughter of the Prophet Muhammad, known in early Islamic history as the wife of Uthman ibn Affan and for her steadfast faith and support of Islam.
-
B.
Zaynab bint Abi Salama
Zaynab bint Abi Salama was the daughter of the Prophet Muhammad’s wife Umm Salama and her first husband Abu Salama, and a member of the early Muslim community in Medina.
-
C.
Zaynab bint Muhammad
Zaynab bint Muhammad was the eldest daughter of the Prophet Muhammad and Khadijah, known as one of the early Muslim women of Mecca.
-
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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f8df00819086f34847e2170e12 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38b9e52688190bd9dc7fb17e892f8 |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 4, 2026, 7:26 p.m.