Triple
T22663379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piya Tu Ab To Aaja |
E559719
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Majrooh Sultanpuri |
—
|
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: Majrooh Sultanpuri | Statement: [Piya Tu Ab To Aaja, lyricist, Majrooh Sultanpuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majrooh Sultanpuri Context triple: [Piya Tu Ab To Aaja, lyricist, Majrooh Sultanpuri]
-
A.
Majrooh Sultanpuri
chosen
Majrooh Sultanpuri was a celebrated Indian Urdu poet and prolific film lyricist whose songs became classics of Hindi cinema from the 1940s onward.
-
B.
Lehar Khan
Lehar Khan is an Indian actress best known for her role in the critically acclaimed film "Parched."
-
C.
Safar Ali Moradi
Safar Ali Moradi is an actor best known for his role in Abbas Kiarostami’s acclaimed Iranian film "Taste of Cherry."
-
D.
Gulzar Houz
Gulzar Houz is a historic fountain and landmark in Hyderabad, India, known for its central location in the old city and its cultural significance.
-
E.
Nasir Khan
Nasir Khan was an Indian film actor known for his roles in Hindi cinema during the mid-20th century.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.