Triple
T11855738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marwan Kenzari |
E282035
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kenzari
Kenzari is a surname most notably associated with Dutch-Tunisian actor Marwan Kenzari, known for his roles in international film and television.
|
E949057
|
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: Kenzari | Statement: [Marwan Kenzari, familyName, Kenzari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenzari Context triple: [Marwan Kenzari, familyName, Kenzari]
-
A.
Kensiu
Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
-
B.
Adenzai
Adenzai is a town and administrative settlement located in the Lower Dir District of Khyber Pakhtunkhwa province in Pakistan.
-
C.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
D.
Kutama
Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
-
E.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
- 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: Kenzari Triple: [Marwan Kenzari, familyName, Kenzari]
Generated description
Kenzari is a surname most notably associated with Dutch-Tunisian actor Marwan Kenzari, known for his roles in international film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenzari Target entity description: Kenzari is a surname most notably associated with Dutch-Tunisian actor Marwan Kenzari, known for his roles in international film and television.
-
A.
Kensiu
Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
-
B.
Adenzai
Adenzai is a town and administrative settlement located in the Lower Dir District of Khyber Pakhtunkhwa province in Pakistan.
-
C.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
D.
Kutama
Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
-
E.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167d9b9e8819093582637941fc5ca |
completed | April 29, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69f17006e6108190b51b20ddf6d2368c |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17819af5c8190a98db3cd8eff8da2 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.