Triple

T18624302
Position Surface form Disambiguated ID Type / Status
Subject Battle of Airds Moss E455238 entity
Predicate partOf P40 FINISHED
Object Killing Times 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: Killing Times | Statement: [Battle of Airds Moss, partOf, Killing Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killing Times
Context triple: [Battle of Airds Moss, partOf, Killing Times]
  • A. Killing Times chosen
    The Killing Times were a period of brutal persecution and summary executions of Scottish Covenanters in the late 17th century under the Stuart monarchy.
  • B. The Killing Hour
    The Killing Hour is a crime thriller novel by bestselling American author Lisa Gardner, featuring FBI profiler Kimberly Quincy as she investigates a serial killer who leaves pairs of victims in different locations.
  • C. Those Who Kill
    Those Who Kill is an American crime drama television series centered on a homicide detective and a forensic psychiatrist who track and profile serial killers.
  • D. Time to Kill
    Time to Kill is a 1942 American crime film noir in which Helena Carter appears, centered on a detective unraveling a complex murder case.
  • E. The Killing Season
    The Killing Season is a dramatic work by playwright and screenwriter Robert Schenkkan, known for its politically charged themes and exploration of power and morality.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f039b408190b51fe770a4c530ec completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.