Triple
T10660573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasnat Khan |
E251212
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hasnat |
E251212
|
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: Hasnat | Statement: [Hasnat Khan, givenName, Hasnat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasnat Context triple: [Hasnat Khan, givenName, Hasnat]
-
A.
Hasnat Khan
chosen
Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
-
B.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
C.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
-
D.
Kashif
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.
-
E.
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.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e017f97c8190b22765a6f1e6719d |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9885dc17881909df20abedd9da5e3 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:07 p.m.