Triple
T13672306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Kiba |
E327780
|
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 Kiba, givenName, Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Context triple: [Ali Kiba, 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.
Ali
Ali is the central protagonist of Rainer Werner Fassbinder’s 1974 film "Ali: Fear Eats the Soul," a Moroccan immigrant whose relationship with an older German woman exposes themes of racism, loneliness, and social alienation.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.