Triple
T22147012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. Asif |
E547311
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | K. Asif |
—
|
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: K. Asif | Statement: [K. Asif, alsoKnownAs, K. Asif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K. Asif Context triple: [K. Asif, alsoKnownAs, K. Asif]
-
A.
K. Asif
chosen
K. Asif was a renowned Indian film director best known for creating the epic historical romance "Mughal-e-Azam," one of the most celebrated classics in Hindi cinema.
-
B.
Mushir Alam
Mushir Alam is an Indian film producer best known for his work on the acclaimed Hindi drama film "Virasat."
-
C.
Farooq Sattar
Farooq Sattar is a Pakistani politician and senior leader of the Muttahida Qaumi Movement (MQM), known for his long-standing role in Karachi’s urban politics and national parliamentary affairs.
-
D.
M. Azhar
M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
-
E.
Kosrat Rasul Ali
Kosrat Rasul Ali is a prominent Kurdish politician and Peshmerga commander who has served as a senior leader in Iraqi Kurdistan and within the Patriotic Union of Kurdistan.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f156988190bc9a24a37418e849 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.