Triple
T5374729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Basma bint Talal |
E108933
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Basma |
E450662
|
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: Basma | Statement: [Princess Basma bint Talal, givenName, Basma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basma Context triple: [Princess Basma bint Talal, givenName, Basma]
-
A.
Basma
chosen
Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
-
B.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
C.
Anizah
Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
-
D.
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.
-
E.
Amina
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.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86ad820081908763765dcbc99cbf |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293ba6a08190bcbecf465e4e5881 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:03 p.m.