Triple

T19582685
Position Surface form Disambiguated ID Type / Status
Subject Williams Timberhill Cemetery E490034 entity
Predicate hasNotableBurial P196 FINISHED
Object Kate Barker
Kate Barker, better known as "Ma Barker," was a notorious American criminal matriarch associated with the Barker–Karpis gang during the early 20th century.
 E490030 NE FINISHED

How this triple was built (4 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: Kate Barker | Statement: [Williams Timberhill Cemetery, hasNotableBurial, Kate Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kate Barker
Context triple: [Williams Timberhill Cemetery, hasNotableBurial, Kate Barker]
  • A. Kate Barker
    Kate Barker, better known as Ma Barker, was an American criminal figure infamous for leading the Barker–Karpis gang during the early 20th century.
  • B. Sophie Hunter
    Sophie Hunter is a British theatre and opera director, playwright, and former actress known for her avant-garde stage work and marriage to actor Benedict Cumberbatch.
  • C. Jennifer Bourke
    Jennifer Bourke is known as the spouse of actor Robert Shaw.
  • D. Kate Lynch
    Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
  • E. Laura Carmichael
    Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kate Barker
Triple: [Williams Timberhill Cemetery, hasNotableBurial, Kate Barker]
Generated description
Kate Barker, better known as "Ma Barker," was a notorious American criminal matriarch associated with the Barker–Karpis gang during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kate Barker
Target entity description: Kate Barker, better known as "Ma Barker," was a notorious American criminal matriarch associated with the Barker–Karpis gang during the early 20th century.
  • A. Kate Barker chosen
    Kate Barker, better known as Ma Barker, was an American criminal figure infamous for leading the Barker–Karpis gang during the early 20th century.
  • B. Sophie Hunter
    Sophie Hunter is a British theatre and opera director, playwright, and former actress known for her avant-garde stage work and marriage to actor Benedict Cumberbatch.
  • C. Jennifer Bourke
    Jennifer Bourke is known as the spouse of actor Robert Shaw.
  • D. Kate Lynch
    Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
  • E. Laura Carmichael
    Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
  • F. None of above.

Provenance (5 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6404e18f88190b7fec59499dd25e8 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787abac6c81909fb6b242c3a33e68 completed May 15, 2026, 8:52 p.m.
NEDg Description generation batch_6a078956bad08190a0e16b8a7a7a8a15 completed May 15, 2026, 9 p.m.
NED2 Entity disambiguation (via description) batch_6a078a0b7a7c8190adb44f9f20e0b6ff completed May 15, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:42 p.m.