Triple
T16874020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside Records |
E421249
|
entity |
| Predicate | recordedArtist |
P1363
|
FINISHED |
| Object | Idrees Sulieman |
E813553
|
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: Idrees Sulieman | Statement: [Riverside Records, recordedArtist, Idrees Sulieman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idrees Sulieman Context triple: [Riverside Records, recordedArtist, Idrees Sulieman]
-
A.
Idrees Sulieman
chosen
Idrees Sulieman was an American jazz trumpeter known for his work in the bebop era and collaborations with prominent bandleaders and ensembles.
-
B.
Adeel Akhtar
Adeel Akhtar is a British actor known for his versatile performances in film and television, including acclaimed roles in projects like "Four Lions," "Utopia," and "Murdered by My Father."
-
C.
Keyaan Ali
Keyaan Ali is known as one of the children of Tanzanian singer and songwriter Ali Kiba.
-
D.
Arsher Ali
Arsher Ali is a British actor known for his work in film, television, and theatre, including roles in projects such as the horror film "The Ritual."
-
E.
Shehzad Khan
Shehzad Khan is an Indian film and television actor best known for his supporting and comic roles in Hindi cinema, including the classic romance "Qayamat Se Qayamat Tak."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b2e67c81908e2313491d16353f |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:29 a.m.