Triple
T22059865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badr bin Abdullah bin Mohammed bin Farhan Al Saud |
E545122
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Farhan
Farhan is a Saudi royal and government figure, notably associated with the House of Saud and contemporary Saudi leadership.
|
E1517077
|
NE FINISHED |
How this triple was built (4 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: Farhan | Statement: [Badr bin Abdullah bin Mohammed bin Farhan Al Saud, givenName, Farhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farhan Context triple: [Badr bin Abdullah bin Mohammed bin Farhan Al Saud, givenName, Farhan]
-
A.
Salim
Salim is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
C.
Farooq
Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
-
D.
Azeem
Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
-
E.
Sameer
Sameer is a prolific Indian film lyricist best known for writing hit songs in numerous Bollywood movies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Farhan Triple: [Badr bin Abdullah bin Mohammed bin Farhan Al Saud, givenName, Farhan]
Generated description
Farhan is a Saudi royal and government figure, notably associated with the House of Saud and contemporary Saudi leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farhan Target entity description: Farhan is a Saudi royal and government figure, notably associated with the House of Saud and contemporary Saudi leadership.
-
A.
Salim
Salim is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
C.
Farooq
Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
-
D.
Azeem
Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
-
E.
Sameer
Sameer is a prolific Indian film lyricist best known for writing hit songs in numerous Bollywood movies.
- F. None of above. chosen
Provenance (5 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285ba1c88190b4bc0c73f3cf04e1 |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80a92ee081909d5119a99d83e064 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a8187516481909d8075dfc025614e |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a826075988190a7148ded16f779c0 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:27 p.m.