Triple
T8558280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sridevi |
E202630
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nagina
Nagina is a popular 1986 Indian fantasy thriller film starring Sridevi as a shape-shifting serpent woman seeking vengeance.
|
E743349
|
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: Nagina | Statement: [Sridevi, notableWork, Nagina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagina Context triple: [Sridevi, notableWork, Nagina]
-
A.
Mewati
Mewati is an Indo-Aryan language variety spoken primarily in the Mewat region of northwestern India, associated with the Meo community.
-
B.
Ghatak
Ghatak is a Bengali surname notably associated with the influential Indian filmmaker and playwright Ritwik Ghatak.
-
C.
Shergarh
Shergarh is the inner fortification within Pakistan’s historic Ranikot Fort, noted for its strategic defensive position and architectural significance.
-
D.
Shergarh
Shergarh is a town in the Jodhpur district of Rajasthan, India, known for its rural setting and local administrative significance.
-
E.
Mirchi
Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
- 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: Nagina Triple: [Sridevi, notableWork, Nagina]
Generated description
Nagina is a popular 1986 Indian fantasy thriller film starring Sridevi as a shape-shifting serpent woman seeking vengeance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagina Target entity description: Nagina is a popular 1986 Indian fantasy thriller film starring Sridevi as a shape-shifting serpent woman seeking vengeance.
-
A.
Mewati
Mewati is an Indo-Aryan language variety spoken primarily in the Mewat region of northwestern India, associated with the Meo community.
-
B.
Ghatak
Ghatak is a Bengali surname notably associated with the influential Indian filmmaker and playwright Ritwik Ghatak.
-
C.
Shergarh
Shergarh is the inner fortification within Pakistan’s historic Ranikot Fort, noted for its strategic defensive position and architectural significance.
-
D.
Shergarh
Shergarh is a town in the Jodhpur district of Rajasthan, India, known for its rural setting and local administrative significance.
-
E.
Mirchi
Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
- 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_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.