Triple

T20416786
Position Surface form Disambiguated ID Type / Status
Subject Detection Club E500732 entity
Predicate hasMember P10 FINISHED
Object Janet Laurence NE NERFINISHED

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: Janet Laurence | Statement: [Detection Club, hasMember, Janet Laurence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Laurence
Context triple: [Detection Club, hasMember, Janet Laurence]
  • A. Janet Laurence chosen
    Janet Laurence is an Australian artist and environmentalist known for her immersive installations that explore the fragility of ecosystems and the interconnection between nature and culture.
  • B. Janet Surtees
    Janet Surtees is best known as the longtime wife of American actor James Arness, star of the classic television series "Gunsmoke."
  • C. Janet Ellis
    Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
  • D. Janet Henry
    Janet Henry is a central female character in the 1942 film noir "The Glass Key," entangled in a web of political corruption, romance, and murder.
  • E. Janet Thornton
    Janet Thornton is a British biochemist and structural bioinformatician renowned for her pioneering work on protein structure and for directing the European Bioinformatics Institute (EMBL-EBI).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.