Triple

T32142686
Position Surface form Disambiguated ID Type / Status
Subject Quality Comics E820946 entity
Predicate notableCreatorAssociated P78804 FINISHED
Object Chuck Cuidera
Chuck Cuidera was an American comic book artist best known for co-creating the World War II superhero Blackhawk and shaping the visual style of early aviation-themed comics.
E1993430 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: Chuck Cuidera | Statement: [Quality Comics, notableCreatorAssociated, Chuck Cuidera]
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: Chuck Cuidera
Triple: [Quality Comics, notableCreatorAssociated, Chuck Cuidera]
Generated description
Chuck Cuidera was an American comic book artist best known for co-creating the World War II superhero Blackhawk and shaping the visual style of early aviation-themed comics.

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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a0380985cf48190b9d2cf430332be1a completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2f014237b881909301d5eeef4f0fec completed June 14, 2026, 7:30 p.m.
NEDg Description generation batch_6a2f02fa1bc08190b17a2d66e076ed34 completed June 14, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2f037a21448190b644fd9cadc3cdee completed June 14, 2026, 7:39 p.m.
Created at: May 1, 2026, 12:31 a.m.