Triple
T22515880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Raḥmān |
E556644
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object | Jami |
—
|
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: Jami | Statement: [ʿAbd al-Raḥmān, isGivenNameOf, Jami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jami Context triple: [ʿAbd al-Raḥmān, isGivenNameOf, Jami]
-
A.
Jami
chosen
Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
-
B.
Jami
Jami is a feminine given name most notably borne by American actress and philanthropist Jami Gertz.
-
C.
Jamail
Jamail is a surname most notably associated with Joe Jamail, a prominent and highly successful American trial lawyer.
-
D.
Jamaame
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
-
E.
Jamay
Jamay is a small municipality and town in the Ciénega region of Jalisco, Mexico, known for its lakeside location near Lake Chapala and traditional agricultural economy.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.