Triple
T3940436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdulrazak Gurnah |
E92020
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Abdulrazak
Abdulrazak is the given name of Abdulrazak Gurnah, the Tanzanian-born British novelist and Nobel Prize in Literature laureate.
|
E399524
|
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: Abdulrazak | Statement: [Abdulrazak Gurnah, givenName, Abdulrazak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdulrazak Context triple: [Abdulrazak Gurnah, givenName, Abdulrazak]
-
A.
Mustapha
Mustapha is a variant transliteration of the Arabic given name Mustafa, commonly used in various languages and cultures.
-
B.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
C.
Ali Hakim
Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
D.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
E.
Omar Ishrak
Omar Ishrak is a Bangladeshi-American business executive best known for leading Medtronic as its longtime CEO and later serving as chairman of the company.
- 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: Abdulrazak Triple: [Abdulrazak Gurnah, givenName, Abdulrazak]
Generated description
Abdulrazak is the given name of Abdulrazak Gurnah, the Tanzanian-born British novelist and Nobel Prize in Literature laureate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abdulrazak Target entity description: Abdulrazak is the given name of Abdulrazak Gurnah, the Tanzanian-born British novelist and Nobel Prize in Literature laureate.
-
A.
Mustapha
Mustapha is a variant transliteration of the Arabic given name Mustafa, commonly used in various languages and cultures.
-
B.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
C.
Ali Hakim
Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
D.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
E.
Omar Ishrak
Omar Ishrak is a Bangladeshi-American business executive best known for leading Medtronic as its longtime CEO and later serving as chairman of the company.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfc88e4819084adefb695b975c5 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52894cb94819099d023745fcaebbc |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5293c3a0c8190abe1924ecc12dc46 |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529f6a3488190a7a9ae37f71cff56 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:24 p.m.