Triple
T23061846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pour elle |
E574922
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Moussa Maaskri |
—
|
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: Moussa Maaskri | Statement: [Pour elle, starring, Moussa Maaskri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moussa Maaskri Context triple: [Pour elle, starring, Moussa Maaskri]
-
A.
Moussa Maaskri
chosen
Moussa Maaskri is a French actor known for his supporting roles in crime dramas and action films, often portraying tough or morally ambiguous characters.
-
B.
Ahmed Mestiri
Ahmed Mestiri was a prominent Tunisian politician and lawyer known for his opposition to authoritarian rule and his role in the country’s post-independence political life.
-
C.
Hamadi Jebali
Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
D.
Ahmed Ounaies
Ahmed Ounaies is a Tunisian politician and diplomat who briefly served as Tunisia’s Minister of Foreign Affairs following the 2011 revolution.
-
E.
Ahmed Hachani
Ahmed Hachani is a Tunisian politician who has served as head of government under President Kais Saied.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.