Triple
T1417330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohsin Hamid |
E31947
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hamid
Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
|
E169947
|
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: Hamid | Statement: [Mohsin Hamid, familyName, Hamid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamid Context triple: [Mohsin Hamid, familyName, Hamid]
-
A.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
B.
Fedallah
Fedallah is a mysterious, prophetic Parsee harpooner who serves as Captain Ahab’s shadowy confidant in Herman Melville’s novel *Moby-Dick*.
-
C.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
D.
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.
-
E.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
- 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: Hamid Triple: [Mohsin Hamid, familyName, Hamid]
Generated description
Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamid Target entity description: Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
A.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
B.
Fedallah
Fedallah is a mysterious, prophetic Parsee harpooner who serves as Captain Ahab’s shadowy confidant in Herman Melville’s novel *Moby-Dick*.
-
C.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
D.
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.
-
E.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c403ccdc8190b2a5fda037b6ea34 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c97ba748190a227457bcb87a733 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d1eccfc81909bdf4df141d1987f |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1d8cea008190be2557f6804a261f |
completed | March 8, 2026, 6:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.