Triple
T6871119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizami Ganjavi |
E158547
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Eskandar-nameh
Eskandar-nameh is a medieval Persian epic poem by Nizami Ganjavi that recounts the legendary adventures and philosophical journeys of Alexander the Great.
|
E625404
|
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: Eskandar-nameh | Statement: [Nizami Ganjavi, notableWork, Eskandar-nameh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eskandar-nameh Context triple: [Nizami Ganjavi, notableWork, Eskandar-nameh]
-
A.
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.
-
B.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
C.
Eskandarian
Eskandarian is a surname most notably associated with Alecko Eskandarian, a former professional American soccer player and coach.
-
D.
Reza
Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
-
E.
Shahpur
Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
- 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: Eskandar-nameh Triple: [Nizami Ganjavi, notableWork, Eskandar-nameh]
Generated description
Eskandar-nameh is a medieval Persian epic poem by Nizami Ganjavi that recounts the legendary adventures and philosophical journeys of Alexander the Great.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eskandar-nameh Target entity description: Eskandar-nameh is a medieval Persian epic poem by Nizami Ganjavi that recounts the legendary adventures and philosophical journeys of Alexander the Great.
-
A.
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.
-
B.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
C.
Eskandarian
Eskandarian is a surname most notably associated with Alecko Eskandarian, a former professional American soccer player and coach.
-
D.
Reza
Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
-
E.
Shahpur
Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a841548190abd706ea1efd622f |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c743a639f88190a0758194433322bf |
completed | March 28, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7445fbd488190938ec3dd59cbeb2c |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:22 p.m.