Triple
T8051243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humza Yousaf |
E187678
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Yousaf
Yousaf is a surname most prominently associated with Humza Yousaf, a Scottish politician who has served as First Minister of Scotland and leader of the Scottish National Party.
|
E706601
|
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: Yousaf | Statement: [Humza Yousaf, familyName, Yousaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yousaf Context triple: [Humza Yousaf, familyName, Yousaf]
-
A.
Zafar
Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
-
B.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
-
C.
Mansoor
Mansoor is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple ways including Mansour.
-
D.
Younus
Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
-
E.
Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
- 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: Yousaf Triple: [Humza Yousaf, familyName, Yousaf]
Generated description
Yousaf is a surname most prominently associated with Humza Yousaf, a Scottish politician who has served as First Minister of Scotland and leader of the Scottish National Party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yousaf Target entity description: Yousaf is a surname most prominently associated with Humza Yousaf, a Scottish politician who has served as First Minister of Scotland and leader of the Scottish National Party.
-
A.
Zafar
Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
-
B.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
-
C.
Mansoor
Mansoor is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple ways including Mansour.
-
D.
Younus
Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
-
E.
Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f799d1481909c91039941af0e34 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc571b737881909ae8eadcc7894223 |
completed | March 31, 2026, 11:22 p.m. |
| NEDg | Description generation | batch_69cc58ae255c8190a6a2d2f335c6cc3f |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5ccee5648190a8ebdf8029eded98 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:24 p.m.