Triple
T22105268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shankar–Jaikishan |
E546269
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Shailendra |
—
|
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: Shailendra | Statement: [Shankar–Jaikishan, collaboratedWith, Shailendra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shailendra Context triple: [Shankar–Jaikishan, collaboratedWith, Shailendra]
-
A.
Shailendra
chosen
Shailendra was a celebrated Indian poet and film lyricist, renowned for his evocative and timeless songs in classic Hindi cinema.
-
B.
Madan Mohan
Madan Mohan was a renowned Indian film music composer celebrated for his soulful, ghazal-based melodies in classic Hindi cinema.
-
C.
Mukesh Bhatt
Mukesh Bhatt is a prominent Indian film producer known for co-founding Vishesh Films and backing numerous successful Bollywood movies.
-
D.
Gulzar
Gulzar is a renowned Indian poet, lyricist, and filmmaker celebrated for his evocative Urdu and Hindi writings and influential contributions to Indian cinema and music.
-
E.
Kumar Shahani
Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.