Triple
T17204565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leïla Ben Ali |
E417566
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leïla Ben Ali |
E417566
|
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: Leïla Ben Ali | Statement: [Leïla Ben Ali, name, Leïla Ben Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leïla Ben Ali Context triple: [Leïla Ben Ali, name, Leïla Ben Ali]
-
A.
Leïla Ben Ali
chosen
Leïla Ben Ali is the former First Lady of Tunisia, known for her influential role and controversial prominence during the presidency of Zine El Abidine Ben Ali.
-
B.
Lina Ben Mhenni
Lina Ben Mhenni was a Tunisian blogger, activist, and outspoken critic of censorship whose online reporting became a prominent voice of the Arab Spring.
-
C.
Hanaa Bouchaib
Hanaa Bouchaib is an actress known for her role in the acclaimed Spanish-language drama film "Biutiful."
-
D.
Lalla Latifa Hammou
Lalla Latifa Hammou is the widow of King Hassan II of Morocco and the mother of King Mohammed VI and several other Moroccan royals.
-
E.
Bahia Hariri
Bahia Hariri is a Lebanese politician and educator, a prominent member of the influential Hariri family, and a former Minister of Education and Culture in Lebanon.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db1e01c81909db0491fd9f49bed |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674df2cc8190be602b15d49d38d0 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.