Triple

T8544960
Position Surface form Disambiguated ID Type / Status
Subject Herb Clutter E202294 entity
Predicate murderedAlongWith P83237 FINISHED
Object Kenyon Clutter E744987 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: Kenyon Clutter | Statement: [Herb Clutter, murderedAlongWith, Kenyon Clutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyon Clutter
Context triple: [Herb Clutter, murderedAlongWith, Kenyon Clutter]
  • A. Kenyon Clutter chosen
    Kenyon Clutter was a teenage member of the Clutter family whose 1959 murder in Holcomb, Kansas, became widely known through Truman Capote’s true-crime book "In Cold Blood."
  • B. Herb Clutter
    Herb Clutter is the prosperous, devout Kansas farmer and family man whose 1959 murder is central to Truman Capote’s nonfiction novel "In Cold Blood."
  • C. Nancy Clutter
    Nancy Clutter is a popular, high-achieving teenage girl from a respected Kansas family whose tragic murder is central to Truman Capote’s nonfiction novel "In Cold Blood."
  • D. Beverly Clutter
    Beverly Clutter was one of the daughters of Kansas farmer Herbert "Herb" Clutter, whose family became widely known as the victims in Truman Capote’s true-crime book "In Cold Blood."
  • E. Gary Starkweather
    Gary Starkweather was an American engineer and inventor best known for creating the laser printer while working at Xerox.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4578d9c8819096b3853d01c3ec11 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42459a048190a5c480f4a212607a completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:18 p.m.