Triple
T22273869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sholay |
E550550
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Hema Malini |
—
|
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: Hema Malini | Statement: [Sholay, castMember, Hema Malini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hema Malini Context triple: [Sholay, castMember, Hema Malini]
-
A.
Hema Malini
chosen
Hema Malini is a renowned Indian actress, dancer, filmmaker, and politician, celebrated as one of Bollywood’s most iconic leading ladies since the 1970s.
-
B.
Lata Mehra
Lata Mehra is the young, strong-willed protagonist of Vikram Seth’s novel "A Suitable Boy," whose search for love and independence unfolds against the backdrop of post-independence India.
-
C.
Suman Kalyanpur
Suman Kalyanpur is a renowned Indian playback singer of the 1950s–1970s, celebrated for her melodious voice and extensive work in Hindi cinema.
-
D.
Sonali Bendre
Sonali Bendre is an Indian film actress and former model best known for her work in popular Hindi films of the 1990s and early 2000s.
-
E.
Asha Bhosle
Asha Bhosle is a legendary Indian playback singer renowned for her versatile voice and vast repertoire across numerous film and non-film songs in multiple languages.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.