Triple
T21661711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasrallah Boutros Sfeir |
E534609
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Boutros |
—
|
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: Boutros | Statement: [Nasrallah Boutros Sfeir, givenName, Boutros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boutros Context triple: [Nasrallah Boutros Sfeir, givenName, 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.
Bab Touma
Bab Touma is a historic Christian quarter and gate in the Old City of Damascus, renowned for its ancient streets, churches, and traditional architecture.
-
C.
Fouad
Fouad is a masculine given name of Arabic origin commonly used in North African and Middle Eastern countries.
-
D.
Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
E.
Boutros Harb
Boutros Harb is a veteran Lebanese politician and lawyer known for his long tenure in parliament, ministerial roles, and opposition to Syrian influence in Lebanon.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0883d481908dfdc66832c34d74 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.