Triple
T20565905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Di Bawah Lindungan Ka'bah |
E504964
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Zainab |
—
|
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: Zainab | Statement: [Di Bawah Lindungan Ka'bah, protagonist, Zainab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zainab Context triple: [Di Bawah Lindungan Ka'bah, protagonist, Zainab]
-
A.
Zainab
chosen
Zainab is a feminine given name of Arabic origin commonly used in many Muslim-majority cultures.
-
B.
Zubayda
Zubayda was a prominent Abbasid princess and influential patron of public works, especially known for funding major infrastructure projects like the water system serving pilgrims on the route to Mecca.
-
C.
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.
-
D.
Aisha
Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
-
E.
Aisha
Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.