Triple
T22075654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Amrohi |
E545514
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Majrooh |
—
|
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 | Statement: [Kamal Amrohi, notableWork, Majrooh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majrooh Context triple: [Kamal Amrohi, notableWork, Majrooh]
-
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.
Mirzya
Mirzya is a 2016 Indian romantic fantasy film inspired by the Punjabi folklore of Mirza-Sahiban, known for its poetic storytelling, music by Shankar–Ehsaan–Loy, and visually rich direction by Rakeysh Omprakash Mehra.
-
C.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
-
D.
Mazhar
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
-
E.
Mohaather
Mohaather was a top-class British Thoroughbred racehorse best known for his explosive turn of foot over a mile and a standout 2020 season.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.