Triple
T9725637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Nejla bint Asem |
E235601
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | bint Asem |
E668294
|
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: bint Asem | Statement: [Princess Nejla bint Asem, familyName, bint Asem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bint Asem Context triple: [Princess Nejla bint Asem, familyName, bint Asem]
-
A.
bint Asem
chosen
Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
-
B.
Asan
Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
-
C.
Âsım
Âsım is a long narrative poem by Turkish poet Mehmet Âkif Ersoy, included as one of the books in his celebrated poetry collection Safahat.
-
D.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
-
E.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afb089e48190a14ed0c0f81872c7 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:21 p.m.