Triple

T4229380
Position Surface form Disambiguated ID Type / Status
Subject Village of the Angels E94540 entity
Predicate starsCharacter P12208 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: [Village of the Angels, starsCharacter, Yasmin Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yasmin Khan
Context triple: [Village of the Angels, starsCharacter, 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:05 p.m.