Triple
T22621275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hema Malini |
E558285
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Baghban |
—
|
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: Baghban | Statement: [Hema Malini, notableWork, Baghban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baghban Context triple: [Hema Malini, notableWork, Baghban]
-
A.
Baghban
chosen
Baghban is a 2003 Hindi drama film about aging parents facing neglect from their grown children, starring Amitabh Bachchan and Hema Malini.
-
B.
Bahaghari
Bahaghari is a studio album by Filipina singer and Broadway star Lea Salonga that features traditional Filipino folk songs interpreted in various Philippine languages.
-
C.
Bagha
Bagha is a beloved fictional drummer and one of the two bumbling yet heroic protagonists from Satyajit Ray’s classic Bengali fantasy film "Goopy Gyne Bagha Byne."
-
D.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
E.
Sherawali
Sherawali is a revered Hindu goddess form of Durga, worshipped especially in North India as the lion-riding mother deity who destroys evil and protects her devotees.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.