Triple

T23366936
Position Surface form Disambiguated ID Type / Status
Subject Donald Sinden E593349 entity
Predicate name P16 FINISHED
Object Donald Sinden NE NERFINISHED

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: Donald Sinden | Statement: [Donald Sinden, name, Donald Sinden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Sinden
Context triple: [Donald Sinden, name, Donald Sinden]
  • A. Donald Sinden chosen
    Donald Sinden was a distinguished English actor known for his work in film, theatre, and television, particularly from the mid-20th century onward.
  • B. Michael Hordern
    Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
  • C. Bernard Miles
    Bernard Miles was an English character actor, writer, and director known for his work in British film and theatre, and for founding the Mermaid Theatre in London.
  • D. Michael Gough
    Michael Gough was an English character actor best known for his role as Alfred Pennyworth in the Batman films of the late 1980s and 1990s and for frequent collaborations with director Tim Burton.
  • E. Joss Ackland
    Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ad621881908a909f236e6e9c90 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.