Triple
T7571262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khushal Yousafzai |
E179244
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Khushal
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
|
E673686
|
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: Khushal | Statement: [Khushal Yousafzai, givenName, Khushal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khushal Context triple: [Khushal Yousafzai, givenName, Khushal]
-
A.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
B.
Sher Afgan Khan
Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
-
C.
Shahzada
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
D.
Afzal Gunj
Afzal Gunj is a historic commercial neighborhood in Hyderabad, India, known for its bustling markets, old-city atmosphere, and proximity to several heritage sites.
-
E.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
- 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: Khushal Triple: [Khushal Yousafzai, givenName, Khushal]
Generated description
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khushal Target entity description: Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
-
A.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
B.
Sher Afgan Khan
Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
-
C.
Shahzada
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
D.
Afzal Gunj
Afzal Gunj is a historic commercial neighborhood in Hyderabad, India, known for its bustling markets, old-city atmosphere, and proximity to several heritage sites.
-
E.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e7c5b48190b6f53f8d14ea753d |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c858aea4fc81908be95d0d4e3f1072 |
completed | March 28, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85919f85081908558f8e8d4b9d057 |
completed | March 28, 2026, 10:41 p.m. |
Created at: March 27, 2026, 3:51 p.m.