Triple
T12487739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sajida Talfah |
E298479
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sajida |
E297140
|
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: Sajida | Statement: [Sajida Talfah, givenName, Sajida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sajida Context triple: [Sajida Talfah, givenName, Sajida]
-
A.
Sajida
chosen
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
-
B.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
-
C.
Buraydah
Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
-
D.
Sabika
Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
-
E.
Sharifa
Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556e9180819084ddb984754b0b54 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:56 p.m.