Triple
T16037696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navid Kermani |
E389010
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kermani
Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
|
E1190962
|
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: Kermani | Statement: [Navid Kermani, familyName, Kermani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kermani Context triple: [Navid Kermani, familyName, Kermani]
-
A.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
B.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
C.
Bakhtiari
Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Marivan
Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural center.
- 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: Kermani Triple: [Navid Kermani, familyName, Kermani]
Generated description
Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kermani Target entity description: Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
-
A.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
B.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
C.
Bakhtiari
Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Marivan
Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural center.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833da68881908710fb2c28e8c6d0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.