Triple

T4154592
Position Surface form Disambiguated ID Type / Status
Subject Companions of the Doctor E89985 entity
Predicate notableMember P10 FINISHED
Object Ryan Sinclair E354206 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: Ryan Sinclair | Statement: [Companions of the Doctor, notableMember, Ryan Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Sinclair
Context triple: [Companions of the Doctor, notableMember, Ryan Sinclair]
  • A. Ryan Sinclair chosen
    Ryan Sinclair is a companion of the Thirteenth Doctor in the television series Doctor Who, known for his bravery and growth throughout their time-traveling adventures.
  • B. Julian Mercer
    Julian Mercer is a charming young doctor portrayed by Keanu Reeves in the romantic comedy film "Something's Gotta Give."
  • C. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • D. Charles Hudson
    Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
  • E. Stephen Sinclair
    Stephen Sinclair is a New Zealand screenwriter best known for co-writing the screenplay for Peter Jackson’s film adaptation of The Lord of the Rings: The Two Towers.
  • 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.