Triple
T6057368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butrus |
E134946
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Butros |
E134946
|
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: Butros | Statement: [Butrus, hasVariant, Butros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butros Context triple: [Butrus, hasVariant, Butros]
-
A.
Butrus
chosen
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
B.
Abdon
Abdon is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and large family.
-
C.
Boutros
Boutros is a male given name of Middle Eastern origin, notably borne by former UN Secretary-General Boutros Boutros-Ghali.
-
D.
Kabnis
Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
-
E.
Issa
Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
- 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_69c113b1ae4c8190b14e06257e8cbccb |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.