Triple
T7544130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassar |
E178352
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Maher Nassar |
E178352
|
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: Maher Nassar | Statement: [Nassar, hasNotableBearer, Maher Nassar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maher Nassar Context triple: [Nassar, hasNotableBearer, Maher Nassar]
-
A.
Nassar
chosen
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
-
B.
عمر الشريف
عمر الشريف هو ممثل مصري عالمي اشتهر بأدواره في أفلام مثل "لورنس العرب" و"دكتور زيفاجو" وأصبح من أبرز نجوم السينما العربية والدولية في القرن العشرين.
-
C.
Michael Ansara
Michael Ansara was a Syrian-American character actor best known for his deep voice and frequent roles in Westerns and science fiction, including memorable appearances in series like Star Trek and Babylon 5.
-
D.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
E.
Faten Hamama
Faten Hamama was a renowned Egyptian film actress often hailed as the "Lady of the Arabic Screen" and a central figure in the golden age of Egyptian cinema.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f896a27481908b2e120208f268e7 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.