Triple
T10261050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Give Good Love |
E240594
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kashif |
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 | Statement: [You Give Good Love, producer, Kashif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashif Context triple: [You Give Good Love, producer, Kashif]
-
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.
Nadeem Omar
Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
-
C.
Ahmad Faraz
Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
-
D.
Zafar
Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
-
E.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
- 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_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74ff95bd08190975bc98c681caf07 |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:32 a.m.