Triple
T4154591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companions of the Doctor |
E89985
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Yasmin Khan |
E354207
|
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: Yasmin Khan | Statement: [Companions of the Doctor, notableMember, Yasmin Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasmin Khan Context triple: [Companions of the Doctor, notableMember, Yasmin Khan]
-
A.
Yasmin Khan
chosen
Yasmin Khan is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
B.
Nadia Sawalha
Nadia Sawalha is a British actress and television presenter best known for her long-running role as a panellist on the daytime talk show "Loose Women."
-
C.
Jasmin Mohammed
Jasmin Mohammed is a writer known for authoring the work titled "Who Shot Ya?".
-
D.
Farah Diba
Farah Diba is the former Empress (Shahbanu) of Iran, known for her marriage to Shah Mohammad Reza Pahlavi and her prominent role in Iran’s cultural and social modernization before the 1979 revolution.
-
E.
Naheed Mirza
Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af027954008190a28841802055afe8 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3c0d7c819098d67e012ef30818 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.