Triple
T8558526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVM Productions |
E202634
|
entity |
| Predicate | hasNotableWork |
P4
|
FINISHED |
| Object |
Prema Pasam
Prema Pasam is an Indian Tamil-language film produced by AVM Productions, recognized as one of the studio’s notable romantic dramas.
|
E743846
|
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: Prema Pasam | Statement: [AVM Productions, hasNotableWork, Prema Pasam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prema Pasam Context triple: [AVM Productions, hasNotableWork, Prema Pasam]
-
A.
Ninne Premistha
Ninne Premistha is a Telugu romantic drama film known for its emotional storyline and popular music.
-
B.
Tholi Prema
Tholi Prema is a popular 1998 Telugu romantic drama film that became a breakthrough hit and a career-defining success for actor Pawan Kalyan.
-
C.
Padmarag
Padmarag is a pioneering early 20th-century Bengali feminist novel by Begum Rokeya that critiques patriarchy and advocates women's education and emancipation.
-
D.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
E.
Mata Sundari
Mata Sundari was the revered wife of the tenth Sikh Guru, Guru Gobind Singh, and an influential figure in early Sikh history and community leadership.
- 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: Prema Pasam Triple: [AVM Productions, hasNotableWork, Prema Pasam]
Generated description
Prema Pasam is an Indian Tamil-language film produced by AVM Productions, recognized as one of the studio’s notable romantic dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prema Pasam Target entity description: Prema Pasam is an Indian Tamil-language film produced by AVM Productions, recognized as one of the studio’s notable romantic dramas.
-
A.
Ninne Premistha
Ninne Premistha is a Telugu romantic drama film known for its emotional storyline and popular music.
-
B.
Tholi Prema
Tholi Prema is a popular 1998 Telugu romantic drama film that became a breakthrough hit and a career-defining success for actor Pawan Kalyan.
-
C.
Padmarag
Padmarag is a pioneering early 20th-century Bengali feminist novel by Begum Rokeya that critiques patriarchy and advocates women's education and emancipation.
-
D.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
E.
Mata Sundari
Mata Sundari was the revered wife of the tenth Sikh Guru, Guru Gobind Singh, and an influential figure in early Sikh history and community leadership.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89455dcc819088bdf5a2f653da17 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ce1a08190a579f7f7a0319d01 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bdf1f148190ac832424661bd8e5 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.