Triple
T20065528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadeq Larijani |
E499596
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Fazel Larijani
Fazel Larijani is an Iranian academic and former diplomat known for his involvement in Iranian political and intellectual circles, including a high-profile corruption controversy.
|
E1418159
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fazel Larijani Context triple: [Sadeq Larijani, sibling, Fazel Larijani]
-
A.
Sadeq Larijani
Sadeq Larijani is an influential Iranian conservative cleric and politician who has served in top leadership roles including head of the judiciary and chair of key state oversight bodies.
-
B.
Ali Larijani
Ali Larijani is a prominent Iranian conservative politician who has served in key roles including Speaker of the Parliament and Secretary of the Supreme National Security Council.
-
C.
Hoshyar Zebari
Hoshyar Zebari is an Iraqi Kurdish politician who served as Iraq’s long-time foreign minister after the 2003 fall of Saddam Hussein.
-
D.
Mohammad-Javad Bahonar
Mohammad-Javad Bahonar was an Iranian cleric and conservative politician who briefly served as prime minister in 1981 before being assassinated in a bombing in Tehran.
-
E.
Bagher Larijani
Bagher Larijani is an Iranian physician and academic known for his work in endocrinology and medical education, as well as his involvement in Iran’s health policy and administration.
- 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: Fazel Larijani Triple: [Sadeq Larijani, sibling, Fazel Larijani]
Generated description
Fazel Larijani is an Iranian academic and former diplomat known for his involvement in Iranian political and intellectual circles, including a high-profile corruption controversy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fazel Larijani Target entity description: Fazel Larijani is an Iranian academic and former diplomat known for his involvement in Iranian political and intellectual circles, including a high-profile corruption controversy.
-
A.
Sadeq Larijani
Sadeq Larijani is an influential Iranian conservative cleric and politician who has served in top leadership roles including head of the judiciary and chair of key state oversight bodies.
-
B.
Ali Larijani
Ali Larijani is a prominent Iranian conservative politician who has served in key roles including Speaker of the Parliament and Secretary of the Supreme National Security Council.
-
C.
Hoshyar Zebari
Hoshyar Zebari is an Iraqi Kurdish politician who served as Iraq’s long-time foreign minister after the 2003 fall of Saddam Hussein.
-
D.
Mohammad-Javad Bahonar
Mohammad-Javad Bahonar was an Iranian cleric and conservative politician who briefly served as prime minister in 1981 before being assassinated in a bombing in Tehran.
-
E.
Bagher Larijani
Bagher Larijani is an Iranian physician and academic known for his work in endocrinology and medical education, as well as his involvement in Iran’s health policy and administration.
- F. None of above. chosen
Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843d6af4881909dcbebe764b7bb6c |
completed | May 16, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a0844730ce88190b63395a365a46c34 |
completed | May 16, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0844f2ad4081908e7a901d4e9a941d |
completed | May 16, 2026, 10:20 a.m. |
Created at: April 11, 2026, 3:39 p.m.