Triple
T21516636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saad Hariri |
E530859
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Saad Hariri |
—
|
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: Saad Hariri | Statement: [Saad Hariri, name, Saad Hariri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saad Hariri Context triple: [Saad Hariri, name, Saad Hariri]
-
A.
Saad Hariri
chosen
Saad Hariri is a Lebanese politician and businessman who has served multiple terms as Prime Minister and is a leading Sunni figure in Lebanon’s post-civil war political landscape.
-
B.
Rafic Hariri
Rafic Hariri was a Lebanese businessman and politician who served multiple terms as Prime Minister and played a major role in the post-civil war reconstruction of Lebanon.
-
C.
al-Hariri
al-Hariri is the family name of Al-Hariri of Basra, a renowned medieval Arab poet and author celebrated for his maqamat (rhymed prose narratives).
-
D.
Najib Mikati
Najib Mikati is a Lebanese billionaire businessman and politician who has served multiple terms as Lebanon’s prime minister.
-
E.
Maher Mikati
Maher Mikati is a Lebanese businessman and member of the prominent Mikati family, known for their significant influence in politics and telecommunications.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee814278e08190a66d516bed0726b5 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:25 p.m.