Triple

T12334397
Position Surface form Disambiguated ID Type / Status
Subject James E. Cheek E294044 entity
Predicate familyName P18 FINISHED
Object Cheek
Cheek is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
 E978348 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: Cheek | Statement: [James E. Cheek, familyName, Cheek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheek
Context triple: [James E. Cheek, familyName, Cheek]
  • A. The Lip
    The Lip is a nickname famously associated with legendary American boxer Muhammad Ali, highlighting his quick wit and outspoken personality.
  • B. The Chew
    The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
  • C. Grin
    Grin was an early 1970s American rock band led by guitarist and singer-songwriter Nils Lofgren, known for its melodic, roots-influenced rock sound.
  • D. Ferret Face
    Ferret Face is the unflattering nickname given to the character Major Frank Burns, a petty and inept surgeon on the television series M*A*S*H.
  • E. Smiley Face
    Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
  • 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: Cheek
Triple: [James E. Cheek, familyName, Cheek]
Generated description
Cheek is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheek
Target entity description: Cheek is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • A. The Lip
    The Lip is a nickname famously associated with legendary American boxer Muhammad Ali, highlighting his quick wit and outspoken personality.
  • B. The Chew
    The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
  • C. Grin
    Grin was an early 1970s American rock band led by guitarist and singer-songwriter Nils Lofgren, known for its melodic, roots-influenced rock sound.
  • D. Ferret Face
    Ferret Face is the unflattering nickname given to the character Major Frank Burns, a petty and inept surgeon on the television series M*A*S*H.
  • E. Smiley Face
    Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
  • F. None of above. chosen

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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62d0377348190b7c227cad70286ac completed May 2, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69f62dc269e88190acce761f77d44654 completed May 2, 2026, 5 p.m.
Created at: April 8, 2026, 9:53 p.m.