Triple

T3906595
Position Surface form Disambiguated ID Type / Status
Subject Gwen Cooper E87216 entity
Predicate portrayedBy P1507 FINISHED
Object Eve Myles E84831 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: Eve Myles | Statement: [Gwen Cooper, portrayedBy, Eve Myles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eve Myles
Context triple: [Gwen Cooper, portrayedBy, Eve Myles]
  • A. Eve Myles chosen
    Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
  • B. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • C. Jenna-Louise Coleman
    Jenna-Louise Coleman is an English actress best known for playing the companion Clara Oswald in the long-running British science fiction series Doctor Who.
  • D. Ruth Wilson
    Ruth Wilson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including prominent roles in series like "Luther" and "The Affair."
  • E. Michelle Gomez
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589c2e33c8190af908a6a021a2a82 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:22 p.m.