Triple
T6057355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butrus |
E134946
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Boutros |
E24437
|
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: Boutros | Statement: [Butrus, derivedFrom, Boutros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boutros Context triple: [Butrus, derivedFrom, Boutros]
-
A.
Boutros
chosen
Boutros is a male given name of Middle Eastern origin, notably borne by former UN Secretary-General Boutros Boutros-Ghali.
-
B.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
C.
Bechara Boutros al-Rahi
Bechara Boutros al-Rahi is the Maronite Patriarch of Antioch and head of the Maronite Church, a prominent Lebanese cardinal known for his influential religious and political role in Lebanon and the Middle East.
-
D.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
-
E.
Abdallah Georges
Abdallah Georges was a military commander known for leading forces in the Battle of Palmyra.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570d00e88190b2d8d596e40378d9 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1251d9bbc8190b9544e93dc268787 |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:09 p.m.