Triple
T10539049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali al-Asghar ibn Husayn |
E248647
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ali |
E126738
|
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: Ali | Statement: [Ali al-Asghar ibn Husayn, givenName, Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Context triple: [Ali al-Asghar ibn Husayn, givenName, Ali]
-
A.
Ali
"Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
-
B.
Ali
chosen
Ali is a common Arabic male given name meaning "exalted" or "noble," widely used across the Muslim world and historically associated with prominent religious and political figures.
-
C.
Ali
Ali is a hip-hop artist known for contributing a featured verse to Nelly’s hit single “Air Force Ones.”
-
D.
Ali
Ali is a heroic slave and central figure in the ballet "Le Corsaire," known for his virtuosic and demanding male variations.
-
E.
Alan
Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5730d88190b266a940faf53f65 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
Created at: April 6, 2026, 12:32 p.m.