Triple

T1748394
Position Surface form Disambiguated ID Type / Status
Subject Luther E38385 entity
Predicate castMember P1668 FINISHED
Object Paul McGann E48832 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: Paul McGann | Statement: [Luther, castMember, Paul McGann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul McGann
Context triple: [Luther, castMember, Paul McGann]
  • A. Paul McGann chosen
    Paul McGann is an English actor best known for playing the Eighth Doctor in the long-running science fiction series Doctor Who and for his roles in films such as "Withnail and I."
  • B. David Tennant
    David Tennant is a Scottish actor best known for playing the Tenth Doctor in "Doctor Who" and for prominent roles in series such as "Broadchurch" and "Good Omens."
  • C. Tom Baker
    Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • D. Nicholas Briggs
    Nicholas Briggs is a British actor and voice artist best known for providing the iconic voices of the Daleks and other monsters in the Doctor Who franchise.
  • E. Clive Russell
    Clive Russell is a Scottish character actor known for his work in film and television, including roles in productions such as "Game of Thrones," "Sherlock Holmes," and numerous British dramas.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e21e58819082943212bd725581 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.