Triple
T8559054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Deluxe |
E202644
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
|
E743919
|
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: Shilpa | Statement: [Super Deluxe, featuresCharacter, Shilpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shilpa Context triple: [Super Deluxe, featuresCharacter, Shilpa]
-
A.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
B.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
Bhumika
Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
-
E.
Aparna
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
- 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: Shilpa Triple: [Super Deluxe, featuresCharacter, Shilpa]
Generated description
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shilpa Target entity description: Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
A.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
B.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
Bhumika
Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
-
E.
Aparna
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
- 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_69ce894d82588190b558d5b2dc65eafe |
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.