Triple
T7941631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pervez Musharraf |
E184405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pervez
Pervez is the given name of Pervez Musharraf, the former President and military ruler of Pakistan.
|
E704441
|
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: Pervez | Statement: [Pervez Musharraf, givenName, Pervez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pervez Context triple: [Pervez Musharraf, givenName, Pervez]
-
A.
Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
-
B.
Karim Ahmad Khan
Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
-
C.
Omar Khan
Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
-
D.
Iskander Ali Mirza
Iskander Ali Mirza was the first President of Pakistan, serving from 1956 until he was deposed in a military coup in 1958.
-
E.
Khader Khan
Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
- 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: Pervez Triple: [Pervez Musharraf, givenName, Pervez]
Generated description
Pervez is the given name of Pervez Musharraf, the former President and military ruler of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pervez Target entity description: Pervez is the given name of Pervez Musharraf, the former President and military ruler of Pakistan.
-
A.
Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
-
B.
Karim Ahmad Khan
Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
-
C.
Omar Khan
Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
-
D.
Iskander Ali Mirza
Iskander Ali Mirza was the first President of Pakistan, serving from 1956 until he was deposed in a military coup in 1958.
-
E.
Khader Khan
Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.