Triple
T3213657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eissa Al Mana |
E67339
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eissa |
E67339
|
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: Eissa | Statement: [Eissa Al Mana, givenName, Eissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eissa Context triple: [Eissa Al Mana, givenName, Eissa]
-
A.
إدريس
إدريس هو اسم علم عربي يُستخدم للذكور وله جذور دينية وتاريخية في الثقافة الإسلامية.
-
B.
Eissa Al Mana
chosen
Eissa Al Mana is the son of American singer Janet Jackson and Qatari businessman Wissam Al Mana, born in 2017.
-
C.
Bab Guissa
Bab Guissa is a historic northern gate of the old city of Fez in Morocco, serving as one of the main entrances to its medieval medina.
-
D.
Idrissa
Idrissa is the given first name of British actor, producer, and musician Idris Elba.
-
E.
Musa
Musa is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," around whom key political and personal conflicts in Kashmir revolve.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.