Triple
T10260991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashif |
E240592
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kashif Saleem |
E240592
|
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: Kashif Saleem | Statement: [Kashif, alsoKnownAs, Kashif Saleem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashif Saleem Context triple: [Kashif, alsoKnownAs, Kashif Saleem]
-
A.
Kashif
chosen
Kashif was an American R&B singer, songwriter, and producer known for his influential 1980s work that helped shape the post-disco and urban contemporary sound.
-
B.
Asim Munir
Asim Munir is a Pakistani four-star general serving as the Chief of Army Staff of the Pakistan Army.
-
C.
Majeed Amjad
Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
-
D.
Asif Iqbal
Asif Iqbal is a former Guantánamo Bay detainee and British resident who challenged his detention in the landmark U.S. Supreme Court case Rasul v. Bush.
-
E.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25bc7f88190b7e83243894d1aeb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cdcdf8c81909f5a2be1c3aa03a0 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:32 a.m.