Triple
T16183526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarfarosh |
E392741
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Sameer |
E1199410
|
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: Sameer | Statement: [Sarfarosh, lyricist, Sameer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sameer Context triple: [Sarfarosh, lyricist, Sameer]
-
A.
Sameer
chosen
Sameer is a prolific Indian film lyricist best known for writing hit songs in numerous Bollywood movies.
-
B.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Shekhar
Shekhar is an Indian filmmaker and actor best known for directing acclaimed films such as "Bandit Queen" and the historical drama "Elizabeth."
-
E.
Subhash
Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007899b408190abcb7e72bdc81e9d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.