Triple
T8667403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sivaji Ganesan |
E205710
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Deiva Magan
Deiva Magan is a 1969 Tamil-language drama film renowned for Sivaji Ganesan’s acclaimed triple-role performance and its emotionally intense storyline.
|
E749955
|
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: Deiva Magan | Statement: [Sivaji Ganesan, notableWork, Deiva Magan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deiva Magan Context triple: [Sivaji Ganesan, notableWork, Deiva Magan]
-
A.
Magan
Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
-
B.
Majgull
Majgull is a Swedish given name, notably borne by the acclaimed author Majgull Axelsson.
-
C.
La Dea
La Dea is the widely used nickname for Italian football club Atalanta Bergamasca Calcio, referencing the mythological goddess Atalanta.
-
D.
Jadu
Jadu is a small town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and strategic highland location.
-
E.
Nedmag
Nedmag is a Dutch company specializing in the production of high-quality magnesium salts and related mineral products.
- 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: Deiva Magan Triple: [Sivaji Ganesan, notableWork, Deiva Magan]
Generated description
Deiva Magan is a 1969 Tamil-language drama film renowned for Sivaji Ganesan’s acclaimed triple-role performance and its emotionally intense storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deiva Magan Target entity description: Deiva Magan is a 1969 Tamil-language drama film renowned for Sivaji Ganesan’s acclaimed triple-role performance and its emotionally intense storyline.
-
A.
Magan
Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
-
B.
Majgull
Majgull is a Swedish given name, notably borne by the acclaimed author Majgull Axelsson.
-
C.
La Dea
La Dea is the widely used nickname for Italian football club Atalanta Bergamasca Calcio, referencing the mythological goddess Atalanta.
-
D.
Jadu
Jadu is a small town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and strategic highland location.
-
E.
Nedmag
Nedmag is a Dutch company specializing in the production of high-quality magnesium salts and related mineral products.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1ca88c8190a3b2ca79a7204248 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff48600819086a15700cb947056 |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.