Triple
T21944192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angrezi Medium |
E541893
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Sachin–Jigar |
—
|
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: Sachin–Jigar | Statement: [Angrezi Medium, musicBy, Sachin–Jigar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachin–Jigar Context triple: [Angrezi Medium, musicBy, Sachin–Jigar]
-
A.
Sachin–Jigar
chosen
Sachin–Jigar are an Indian music composer duo known for their work on numerous Bollywood film soundtracks and independent music projects.
-
B.
Ashvajit
Ashvajit is a Buddhist figure traditionally regarded as one of the early disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
C.
Shekhar
Shekhar is an Indian filmmaker and actor best known for directing acclaimed films such as "Bandit Queen" and the historical drama "Elizabeth."
-
D.
Shastri
Shastri is an honorific title in India traditionally bestowed upon scholars who have attained a high level of expertise in Sanskrit and Hindu scriptures.
-
E.
Suraj Bhan
Suraj Bhan was an Indian archaeologist noted for his work on the Indus Valley Civilization, including early research at the Rakhigarhi site.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.