Triple
T11289293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shashi Kapoor |
E267281
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sharmeelee |
E900389
|
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: Sharmeelee | Statement: [Shashi Kapoor, notableWork, Sharmeelee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharmeelee Context triple: [Shashi Kapoor, notableWork, Sharmeelee]
-
A.
Sharmilee
chosen
Sharmilee is a 1971 Hindi romantic drama film best known for its music and performances by Shashi Kapoor and Rakhee.
-
B.
Naseem
Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
-
C.
Sanam
Sanam is an archaeological site in Sudan’s Napatan region, known for its ancient Kushite remains and its inclusion in the UNESCO-listed Gebel Barkal and associated sites.
-
D.
Samira
Samira is a feminine given name of Arabic origin commonly used across the Middle East, North Africa, and South Asia.
-
E.
Shumang Leela
Shumang Leela is a traditional courtyard-based theatrical form of the Meitei community of Manipur, known for its minimalist staging, satirical storytelling, and strong social themes.
- 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_69e4f48e190c8190b46d4286e2acaef1 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:32 p.m.