Triple

T17884533
Position Surface form Disambiguated ID Type / Status
Subject Image Comics E447167 entity
Predicate publishes P80 FINISHED
Object Chew
Chew is a darkly comedic crime comic series centered on a detective who gains psychic impressions from what he eats, blending noir, satire, and the supernatural.
 E1293831 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: Chew | Statement: [Image Comics, publishes, Chew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chew
Context triple: [Image Comics, publishes, Chew]
  • A. Chew
    Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
  • B. Chew Chew
    Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
  • C. 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.
  • D. Chomps
    Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
  • E. Chew Magna
    Chew Magna is a historic village and civil parish in Somerset, England, known for its medieval church, traditional architecture, and location near Chew Valley Lake.
  • 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: Chew
Triple: [Image Comics, publishes, Chew]
Generated description
Chew is a darkly comedic crime comic series centered on a detective who gains psychic impressions from what he eats, blending noir, satire, and the supernatural.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chew
Target entity description: Chew is a darkly comedic crime comic series centered on a detective who gains psychic impressions from what he eats, blending noir, satire, and the supernatural.
  • A. Chew
    Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
  • B. Chew Chew
    Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
  • C. 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.
  • D. Chomps
    Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
  • E. Chew Magna
    Chew Magna is a historic village and civil parish in Somerset, England, known for its medieval church, traditional architecture, and location near Chew Valley Lake.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d7ca4881908ce9c8e9a8d44e11 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a0315959c3c819096a93724638a970b completed May 12, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_6a03165da2a081909ad7089d5135d23c completed May 12, 2026, noon
Created at: April 10, 2026, 10:18 a.m.