Triple
T22756351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noor Pahlavi |
E562853
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Noor |
—
|
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: Noor | Statement: [Noor Pahlavi, givenName, Noor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noor Context triple: [Noor Pahlavi, givenName, Noor]
-
A.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
-
B.
Noor
Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
-
C.
Noor
chosen
Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
-
D.
Nooran
Nooran is a young Muslim woman in Khushwant Singh’s novel "Train to Pakistan," whose forbidden love with a Sikh man highlights the human cost of the Partition of India.
-
E.
Noori
Noori is a legendary female figure celebrated in Sindhi folklore and Sufi poetry as one of the Seven Queens immortalized by Shah Abdul Latif Bhittai for her humility and devotion.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.