Triple
T21516638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saad Hariri |
E530859
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saad |
—
|
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: Saad | Statement: [Saad Hariri, givenName, Saad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saad Context triple: [Saad Hariri, givenName, Saad]
-
A.
Saad
chosen
Saad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority countries.
-
B.
Suhail
Suhail is the Arabic name for Canopus, the second-brightest star in the night sky and a key navigational star historically used by Arab sailors and desert travelers.
-
C.
Saeed
Saeed is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
D.
Saleem
Saleem is the central, telepathically gifted protagonist and narrator of Salman Rushdie’s novel "Midnight’s Children," whose life is intertwined with the history of postcolonial India.
-
E.
Sa'id
Sa'id is a town in southern Yemen that historically served as the political and administrative center of the Upper Aulaqi Sultanate.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee814278e08190a66d516bed0726b5 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:25 p.m.