Triple
T22655145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mahabharata (1989 film) |
E559203
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michel Propper
Michel Propper is a film producer best known for his work on the 1989 cinematic adaptation of the Indian epic "The Mahabharata."
|
E1554394
|
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: Michel Propper | Statement: [The Mahabharata (1989 film), producer, Michel Propper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Propper Context triple: [The Mahabharata (1989 film), producer, Michel Propper]
-
A.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
-
B.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
-
C.
Michel Perrimond
Michel Perrimond is a French local politician who serves as the mayor of the commune of Juvisy-sur-Orge in the Île-de-France region.
-
D.
Michel Mercier
Michel Mercier is a French centrist politician and former minister who has played a significant role in France’s moderate and center-right political landscape.
-
E.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
- 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: Michel Propper Triple: [The Mahabharata (1989 film), producer, Michel Propper]
Generated description
Michel Propper is a film producer best known for his work on the 1989 cinematic adaptation of the Indian epic "The Mahabharata."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Propper Target entity description: Michel Propper is a film producer best known for his work on the 1989 cinematic adaptation of the Indian epic "The Mahabharata."
-
A.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
-
B.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
-
C.
Michel Perrimond
Michel Perrimond is a French local politician who serves as the mayor of the commune of Juvisy-sur-Orge in the Île-de-France region.
-
D.
Michel Mercier
Michel Mercier is a French centrist politician and former minister who has played a significant role in France’s moderate and center-right political landscape.
-
E.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b980589308190a776bc8c521e2f75 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b9c042330819097fc22c7ec0cdce5 |
completed | May 18, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9c63fbc88190ac3057b2eaf61586 |
completed | May 18, 2026, 11:10 p.m. |
Created at: April 17, 2026, 3:06 p.m.