Triple
T10129258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Qasim Fahim |
E226292
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fahim
Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
|
E842676
|
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: Fahim | Statement: [Mohammad Qasim Fahim, familyName, Fahim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahim Context triple: [Mohammad Qasim Fahim, familyName, Fahim]
-
A.
Ashfaq
Ashfaq is the given name of Ashfaqulla Khan, an Indian freedom fighter and revolutionary associated with the Hindustan Republican Association during the struggle against British rule.
-
B.
Hanif
Hanif is a town and commune located within Bouira Province in northern Algeria.
-
C.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
D.
Shahriar
Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
-
E.
Jamal
Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
- 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: Fahim Triple: [Mohammad Qasim Fahim, familyName, Fahim]
Generated description
Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fahim Target entity description: Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
-
A.
Ashfaq
Ashfaq is the given name of Ashfaqulla Khan, an Indian freedom fighter and revolutionary associated with the Hindustan Republican Association during the struggle against British rule.
-
B.
Hanif
Hanif is a town and commune located within Bouira Province in northern Algeria.
-
C.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
D.
Shahriar
Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
-
E.
Jamal
Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc7c50b08190a04aa2f58a6c300a |
completed | April 5, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69d2cecd67448190a28a90148ad83c20 |
completed | April 5, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2cf4d259881909f44bf1ec39524de |
completed | April 5, 2026, 9:08 p.m. |
Created at: March 30, 2026, 9:05 p.m.