Triple
T22292564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sai Tamhankar |
E551032
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love Sonia |
—
|
NE NERFINISHED |
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: Love Sonia | Statement: [Sai Tamhankar, notableWork, Love Sonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Sonia Context triple: [Sai Tamhankar, notableWork, Love Sonia]
-
A.
Love Sonia
chosen
Love Sonia is a 2018 Indian drama film that follows a young village girl’s harrowing journey through the global sex trafficking underworld.
-
B.
SONIA
SONIA (Sterling Overnight Index Average) is the Bank of England’s preferred near risk-free reference rate for overnight unsecured sterling transactions, widely used as the benchmark interest rate in UK financial markets.
-
C.
Love, Antosha
Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
-
D.
Larina
Larina is a Russian surname most notably borne by Anna Larina, the widow of Bolshevik leader Nikolai Bukharin.
-
E.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.