Triple

T14746074
Position Surface form Disambiguated ID Type / Status
Subject Jackson Lamb E346470 entity
Predicate hasColleague P398 FINISHED
Object Catherine Standish E1114514 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: Catherine Standish | Statement: [Jackson Lamb, hasColleague, Catherine Standish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Standish
Context triple: [Jackson Lamb, hasColleague, Catherine Standish]
  • A. Catherine Standish chosen
    Catherine Standish is a seasoned, once-alcoholic MI5 administrator in Mick Herron’s Slough House series, known for her loyalty, discretion, and deep institutional memory.
  • B. Catherine
    Catherine is a feminine given name of Greek origin, derived from Aikaterine and widely used in various forms across many cultures.
  • C. Catherine
    Catherine is the central protagonist of the play "The Memory of Water," around whom the story’s family tensions, memories, and emotional revelations revolve.
  • D. Catherine
    "Catherine" is an early satirical novel by William Makepeace Thackeray that parodies the popular crime and Newgate novels of his time.
  • E. Catherine
    Catherine is a central character in the film "Her," known as Theodore Twombly’s intelligent but emotionally complex ex-wife.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb982b5c8190a0340be2186f8b81 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.