Triple
T11289316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shashi Kapoor |
E267281
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Hema Malini |
E558285
|
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: Hema Malini | Statement: [Shashi Kapoor, workedWith, Hema Malini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hema Malini Context triple: [Shashi Kapoor, workedWith, 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.
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.
-
C.
Suhasini Mulay
Suhasini Mulay is an Indian actress and documentary filmmaker known for her work in parallel cinema and acclaimed character roles in Hindi and regional films.
-
D.
Usha Mangeshkar
Usha Mangeshkar is an Indian playback singer known for her work in Hindi and regional film music and for being part of the renowned Mangeshkar musical family.
-
E.
Gita Dey
Gita Dey was an Indian Bengali film and theatre actress known for her powerful character roles in classic Bengali cinema.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f49badc88190a3195e919900f0c3 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:32 p.m.