Triple

T10367682
Position Surface form Disambiguated ID Type / Status
Subject Teachers E244296 entity
Predicate hasCastMember P2308 FINISHED
Object Zoë Telford E875005 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: Zoë Telford | Statement: [Teachers, hasCastMember, Zoë Telford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoë Telford
Context triple: [Teachers, hasCastMember, Zoë Telford]
  • A. Zoë Telford chosen
    Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
  • B. Zoe Reynolds
    Zoe Reynolds is a fictional MI5 intelligence officer and key member of the counter-terrorism team in the British television drama series "Spooks."
  • C. Zoe Birkett
    Zoe Birkett is a British singer and stage performer who gained national recognition as a standout contestant on the first series of the TV talent show Pop Idol.
  • D. Zoe Tapper
    Zoe Tapper is an English actress known for her work in film, television, and theatre, including notable roles in period dramas and contemporary series.
  • E. Tessa Wheeler
    Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9881d84588190a9117064a0950ac1 completed April 10, 2026, 11:30 p.m.
Created at: April 6, 2026, noon