Triple

T14507383
Position Surface form Disambiguated ID Type / Status
Subject Robert Crumb E340299 entity
Predicate familyName P18 FINISHED
Object Crumb
Crumb is a surname most famously associated with Robert Crumb, the influential American underground cartoonist and illustrator.
 E67876 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: Crumb | Statement: [Robert Crumb, familyName, Crumb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crumb
Context triple: [Robert Crumb, familyName, Crumb]
  • A. Crumb
    Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
  • B. Crumble
    "Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
  • C. Crumblin' Erb
    "Crumblin' Erb" is a laid-back, funk-infused hip-hop track by Outkast that reflects on stress, escape, and Southern street life.
  • D. Crum
    Crum is the surname of Denny Crum, the Hall of Fame college basketball coach best known for leading the University of Louisville to multiple NCAA championships.
  • E. The Green Butchers
    The Green Butchers is a dark Danish comedy film about two eccentric butchers whose desperate bid for success leads them into macabre and morally dubious territory.
  • 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: Crumb
Triple: [Robert Crumb, familyName, Crumb]
Generated description
Crumb is a surname most famously associated with Robert Crumb, the influential American underground cartoonist and illustrator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crumb
Target entity description: Crumb is a surname most famously associated with Robert Crumb, the influential American underground cartoonist and illustrator.
  • A. Crumb chosen
    Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
  • B. Crumble
    "Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
  • C. Crumblin' Erb
    "Crumblin' Erb" is a laid-back, funk-infused hip-hop track by Outkast that reflects on stress, escape, and Southern street life.
  • D. Crum
    Crum is the surname of Denny Crum, the Hall of Fame college basketball coach best known for leading the University of Louisville to multiple NCAA championships.
  • E. The Green Butchers
    The Green Butchers is a dark Danish comedy film about two eccentric butchers whose desperate bid for success leads them into macabre and morally dubious territory.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aaeaf40819087fa0db989813e02 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b5929c08190ae4596a23857ed06 completed May 8, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd8beb5d608190b4825ccb0935f041 completed May 8, 2026, 7:08 a.m.
Created at: April 10, 2026, 1:21 a.m.