Triple
T10538283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahd bin Salman Al Saud |
E248628
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fahd |
E138951
|
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: Fahd | Statement: [Fahd bin Salman Al Saud, givenName, Fahd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahd Context triple: [Fahd bin Salman Al Saud, givenName, Fahd]
-
A.
Fahd
chosen
Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
-
B.
Khalaf
Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
-
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.
Qasim
Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
-
E.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a56133c819088285522e64831f7 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9340da2948190950e7c0ceea12cb1 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:31 p.m.