Triple

T16845965
Position Surface form Disambiguated ID Type / Status
Subject Cyberwoman E409538 entity
Predicate starsActor P5563 FINISHED
Object Gareth David-Lloyd E103713 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: Gareth David-Lloyd | Statement: [Cyberwoman, starsActor, Gareth David-Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gareth David-Lloyd
Context triple: [Cyberwoman, starsActor, Gareth David-Lloyd]
  • A. Gareth David-Lloyd chosen
    Gareth David-Lloyd is a Welsh actor best known for playing Ianto Jones in the Doctor Who spin-off series Torchwood.
  • B. Gareth Warren
    Gareth Warren is an individual notable enough to be recognized as a bearer of the surname Warren, though specific widely known public achievements or roles are not clearly documented.
  • C. Gareth Wiley
    Gareth Wiley is a British film producer best known for his collaborations with director Woody Allen on several critically acclaimed films.
  • D. Emrys Jones
    Emrys Jones was a distinguished British geographer recognized for his influential work in urban and social geography.
  • E. Gareth Story
    Gareth Story is an individual notable enough to be recognized as a bearer of the surname Story, though specific widely known public details about him are not readily available.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79e86ac8190b89c4ebb05250b4f completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:24 a.m.