Triple
T20932578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Gold |
E515504
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Mohammad Reza Darvishi
Mohammad Reza Darvishi is an Iranian composer and musicologist known for his work in contemporary Persian music and film scores.
|
E1520773
|
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: Mohammad Reza Darvishi | Statement: [Crimson Gold, musicBy, Mohammad Reza Darvishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohammad Reza Darvishi Context triple: [Crimson Gold, musicBy, Mohammad Reza Darvishi]
-
A.
Abdolrahman Bagheri
Abdolrahman Bagheri is an Iranian actor best known for his role in Abbas Kiarostami’s acclaimed film "Taste of Cherry."
-
B.
Rahmat Shoureshi
Rahmat Shoureshi is an engineer and academic leader known for co-founding Lattice Semiconductor and serving in senior roles at several universities.
-
C.
Mozaffar Karimi
Mozaffar Karimi is an actor known for his role in the film "Rendition."
-
D.
Mohsen Rezaee
Mohsen Rezaee is an Iranian politician and former senior military commander who served as the long-time chief of the Islamic Revolutionary Guard Corps during the Iran–Iraq War.
-
E.
Mohsen Foroughi
Mohsen Foroughi was a prominent Iranian architect known for designing significant public and institutional buildings in 20th-century Iran.
- 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: Mohammad Reza Darvishi Triple: [Crimson Gold, musicBy, Mohammad Reza Darvishi]
Generated description
Mohammad Reza Darvishi is an Iranian composer and musicologist known for his work in contemporary Persian music and film scores.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohammad Reza Darvishi Target entity description: Mohammad Reza Darvishi is an Iranian composer and musicologist known for his work in contemporary Persian music and film scores.
-
A.
Abdolrahman Bagheri
Abdolrahman Bagheri is an Iranian actor best known for his role in Abbas Kiarostami’s acclaimed film "Taste of Cherry."
-
B.
Rahmat Shoureshi
Rahmat Shoureshi is an engineer and academic leader known for co-founding Lattice Semiconductor and serving in senior roles at several universities.
-
C.
Mozaffar Karimi
Mozaffar Karimi is an actor known for his role in the film "Rendition."
-
D.
Mohsen Rezaee
Mohsen Rezaee is an Iranian politician and former senior military commander who served as the long-time chief of the Islamic Revolutionary Guard Corps during the Iran–Iraq War.
-
E.
Mohsen Foroughi
Mohsen Foroughi was a prominent Iranian architect known for designing significant public and institutional buildings in 20th-century Iran.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f01d6e4819096dcf105cf48bee6 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a9374c1508190bd4d51b52fa55ede |
completed | May 18, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a93f3f8348190b9040d1c5cbc5a18 |
completed | May 18, 2026, 4:22 a.m. |
Created at: April 16, 2026, 12:49 p.m.