Triple

T14816557
Position Surface form Disambiguated ID Type / Status
Subject Zoe Tapper E348332 entity
Predicate name P16 FINISHED
Object Zoe Tapper E348332 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: Zoe Tapper | Statement: [Zoe Tapper, name, Zoe Tapper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoe Tapper
Context triple: [Zoe Tapper, name, Zoe Tapper]
  • A. Zoe Tapper chosen
    Zoe Tapper is an English actress known for her work in film, television, and theatre, including notable roles in period dramas and contemporary series.
  • B. Zoë Telford
    Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
  • C. Zoë Sallis
    Zoë Sallis is a British actress and writer best known for her work in film and television and as the mother of actor and director Danny Huston.
  • D. Zoe Perkins
    Zoe Perkins is a daughter of renowned American book editor Maxwell Perkins, who was famous for working with authors like F. Scott Fitzgerald and Ernest Hemingway.
  • E. Zoe Colletti
    Zoe Colletti is an American actress known for her roles in film and television, including horror and drama projects such as "Scary Stories to Tell in the Dark" and "Fear the Walking Dead."
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d279708190a54a56c0b80be10a completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:49 a.m.