Triple
T8002604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Cyriens |
E186285
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Michel Aoun |
E597579
|
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: Michel Aoun | Statement: [Saint-Cyriens, hasNotableAlumni, Michel Aoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Aoun Context triple: [Saint-Cyriens, hasNotableAlumni, Michel Aoun]
-
A.
Michel Aoun
chosen
Michel Aoun is a Lebanese military officer and politician who served as army commander, led a major anti-Syrian campaign during the late stages of the Lebanese Civil War, and later became President of Lebanon.
-
B.
Émile Lahoud
Émile Lahoud is a Lebanese military officer and politician who served as President of Lebanon from 1998 to 2007.
-
C.
Najib Mikati
Najib Mikati is a Lebanese billionaire businessman and politician who has served multiple terms as Lebanon’s prime minister.
-
D.
Samir Geagea
Samir Geagea is a prominent Lebanese Christian political leader and former militia commander who heads the Lebanese Forces party and played a major role in post-civil war Lebanese politics.
-
E.
Olivier Bassil
Olivier Bassil is a writer known for his work on the project or publication "Uproar."
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe121b0ac81908b9da58cf14c8df5 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:18 p.m.