Triple

T32342521
Position Surface form Disambiguated ID Type / Status
Subject Terry Dodson E826356 entity
Predicate notableWork P4 FINISHED
Object Bombshells variant covers
Bombshells variant covers are a series of stylized, pin-up inspired comic book cover illustrations, notably created by artist Terry Dodson, that reimagine popular characters in a retro, World War II-era aesthetic.
 E2001307 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: Bombshells variant covers | Statement: [Terry Dodson, notableWork, Bombshells variant covers]
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: Bombshells variant covers
Triple: [Terry Dodson, notableWork, Bombshells variant covers]
Generated description
Bombshells variant covers are a series of stylized, pin-up inspired comic book cover illustrations, notably created by artist Terry Dodson, that reimagine popular characters in a retro, World War II-era aesthetic.

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_69f34914dfc48190a390cd0720d9e86f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be25253881908d83f1028bfc90a9 completed May 3, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a30572ca9e081908939473a0b8510c8 completed June 15, 2026, 7:49 p.m.
NEDg Description generation batch_6a30581f4878819083d6e510e2ca386e completed June 15, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a3058d36d9c8190bec0ef32cf26c84f completed June 15, 2026, 7:56 p.m.
Created at: May 1, 2026, 12:48 a.m.