Triple
T10952937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayeb Salih |
E258768
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salih |
E168456
|
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: Salih | Statement: [Tayeb Salih, familyName, Salih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salih Context triple: [Tayeb Salih, familyName, Salih]
-
A.
Salih
chosen
Salih is a prophet in Islamic tradition who was sent to the ancient tribe of Thamud and is notably associated with the miracle of the she-camel.
-
B.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
C.
Saleh
Saleh is a surname most prominently associated with Robert Saleh, the head coach of the New York Jets in the National Football League.
-
D.
Ahmed Abdullah
Ahmed Abdullah is the Afghan interpreter protagonist in the 2023 war film "The Covenant," whose loyalty and bravery drive the story’s central rescue mission.
-
E.
Dahlan
Dahlan is a Palestinian political surname most prominently associated with Mohammed Dahlan, a notable Fatah politician and former security chief in the Gaza Strip.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fcfb3c8190b7823869670184a6 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3447d8cc88190a3e28f204a93a7d3 |
completed | April 18, 2026, 8:44 a.m. |
Created at: April 8, 2026, 9:23 p.m.