Triple
T18336152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadi Choopan |
E439274
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Choopan
Choopan is an Iranian professional bodybuilder best known for winning the 2022 Mr. Olympia title.
|
E1319091
|
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: Choopan | Statement: [Hadi Choopan, familyName, Choopan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choopan Context triple: [Hadi Choopan, familyName, Choopan]
-
A.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
B.
Chimariko
Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
-
C.
Kushi
Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
-
D.
Shachi
Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
-
E.
Hichki
Hichki is a 2018 Hindi drama film starring Rani Mukerji as a teacher with Tourette syndrome who overcomes social and professional challenges to inspire her students.
- 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: Choopan Triple: [Hadi Choopan, familyName, Choopan]
Generated description
Choopan is an Iranian professional bodybuilder best known for winning the 2022 Mr. Olympia title.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Choopan Target entity description: Choopan is an Iranian professional bodybuilder best known for winning the 2022 Mr. Olympia title.
-
A.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
B.
Chimariko
Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
-
C.
Kushi
Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
-
D.
Shachi
Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
-
E.
Hichki
Hichki is a 2018 Hindi drama film starring Rani Mukerji as a teacher with Tourette syndrome who overcomes social and professional challenges to inspire her students.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4d2db288190b5832978f53265ca |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c8b9d06c8190af9e9121246b7e6f |
completed | May 13, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c989741c81908f2a50b571a8c475 |
completed | May 13, 2026, 12:44 a.m. |
Created at: April 10, 2026, 10:37 a.m.