Triple
T13687076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaytoun |
E328158
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ali Suliman |
E294058
|
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 Suliman | Statement: [Zaytoun, starring, Ali Suliman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Suliman Context triple: [Zaytoun, starring, Ali Suliman]
-
A.
Ali Suliman
chosen
Ali Suliman is a Palestinian actor known for his roles in international films and television series, often portraying complex characters in political and war-themed dramas.
-
B.
Ali Hamid
Ali Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
-
C.
Mansour Khalid
Mansour Khalid was a prominent Sudanese politician, diplomat, and intellectual who served in senior government positions and played a key role in Sudan’s modern political history.
-
D.
Abdullah Ensour
Abdullah Ensour is a Jordanian economist and politician who served as the country's prime minister in the 2010s.
-
E.
Khalid Abdalla
Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4c52fc8190a93d05c24a8d1513 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.