Triple
T8558282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sridevi |
E202630
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | English Vinglish |
E554546
|
NE FINISHED |
How this triple was built (2 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: English Vinglish | Statement: [Sridevi, notableWork, English Vinglish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Vinglish Context triple: [Sridevi, notableWork, English Vinglish]
-
A.
English Vinglish
chosen
English Vinglish is a 2012 Indian comedy-drama film directed by Gauri Shinde, following a homemaker’s journey to regain confidence and respect by secretly learning English.
-
B.
Hindi Medium
Hindi Medium is a 2017 Indian Hindi-language comedy-drama film that critiques India’s education system and social class divide, starring Irrfan Khan in a widely acclaimed lead role.
-
C.
English (film)
English (film) is a cinematic work produced in the English language, likely featuring the character Rita Vrataski.
-
D.
Swades
Swades is a 2004 Indian drama film directed by Ashutosh Gowariker, in which Shah Rukh Khan plays an NRI who returns to rural India to drive social change.
-
E.
Pokiri
Pokiri is a 2006 Telugu-language action film widely recognized as one of Mahesh Babu’s most popular and career-defining hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 30, 2026, 6:20 p.m.