Triple
T7544095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayel Nassar |
E178351
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Nassar | Statement: [Nayel Nassar, familyName, Nassar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassar Context triple: [Nayel Nassar, familyName, Nassar]
-
A.
Nassar
chosen
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
-
B.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
C.
Kamal
Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
-
D.
Kamal
Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
-
E.
Kamal
Kamal is a central figure in Naguib Mahfouz's novel "Palace of Desire," portrayed as a complex, introspective young man grappling with desire, morality, and modernity in early 20th-century Cairo.
- 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_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.