Triple
T15781928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yazdegerd III |
E382638
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Shahriyar
Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
|
E1176845
|
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: Shahriyar | Statement: [Yazdegerd III, father, Shahriyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahriyar Context triple: [Yazdegerd III, father, Shahriyar]
-
A.
Alaeddin
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
-
B.
Shahryar Mirza
Shahryar Mirza was a Mughal prince and briefly a claimant to the Mughal throne during the turbulent succession struggles following Emperor Jahangir’s death.
-
C.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
-
D.
Şahmerdan
Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
-
E.
Pasha Qasim
Pasha Qasim was an Ottoman military leader and provincial governor whose legacy is notably marked by the mosque bearing his name in Pécs, Hungary.
- 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: Shahriyar Triple: [Yazdegerd III, father, Shahriyar]
Generated description
Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahriyar Target entity description: Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
-
A.
Alaeddin
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
-
B.
Shahryar Mirza
Shahryar Mirza was a Mughal prince and briefly a claimant to the Mughal throne during the turbulent succession struggles following Emperor Jahangir’s death.
-
C.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
-
D.
Şahmerdan
Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
-
E.
Pasha Qasim
Pasha Qasim was an Ottoman military leader and provincial governor whose legacy is notably marked by the mosque bearing his name in Pécs, Hungary.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a2476c8190a153fb47cb4e7708 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff9407644081908d7dbba5245931d4 |
completed | May 9, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff946722f48190a99bbcca681db528 |
completed | May 9, 2026, 8:09 p.m. |
Created at: April 10, 2026, 4:48 a.m.