Triple
T22779031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. D. Burman |
E563781
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Mohammad Rafi |
—
|
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: Mohammad Rafi | Statement: [S. D. Burman, influenced, Mohammad Rafi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohammad Rafi Context triple: [S. D. Burman, influenced, Mohammad Rafi]
-
A.
Mohammed Rafi
chosen
Mohammed Rafi was a legendary Indian playback singer renowned for his extraordinary vocal range and versatility, who became one of the most iconic voices in Hindi cinema.
-
B.
Kishore Kumar
Kishore Kumar was a legendary Indian playback singer, actor, and music composer renowned for his versatile voice and iconic songs in Hindi cinema.
-
C.
Dilip Kumar
Dilip Kumar was a legendary Indian film actor, celebrated as the "Tragedy King" of Hindi cinema and renowned for his intense, nuanced performances in classic Bollywood films.
-
D.
Kader Khan
Kader Khan was a renowned Indian film actor, screenwriter, and comedian known for his prolific work in Hindi cinema from the 1970s through the 1990s.
-
E.
Tarun Dutt
Tarun Dutt was the son of legendary Indian filmmaker and actor Guru Dutt, known primarily for his connection to this iconic figure in Indian 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.