Triple

T13595073
Position Surface form Disambiguated ID Type / Status
Subject Tales to Astonish #27 E324796 entity
Predicate letterer P36863 FINISHED
Object Art Simek
Art Simek was an American comic book letterer best known for his extensive work during the Silver Age of Marvel Comics.
E1048755 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: Art Simek | Statement: [Tales to Astonish #27, letterer, Art Simek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Art Simek
Context triple: [Tales to Astonish #27, letterer, Art Simek]
  • A. Artur Brauner
    Artur Brauner was a prominent Polish-born German film producer and Holocaust survivor, known for founding the CCC Film studio and producing numerous significant postwar European films.
  • B. Roman Kroitor
    Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
  • C. Svlad Cjelli
    Svlad Cjelli is the birth name of Dirk Gently, the eccentric holistic detective from Douglas Adams' "Dirk Gently's Holistic Detective Agency" series.
  • D. Johannes Talen
    Johannes Talen is a notable individual from Amersfoort, Netherlands, recognized for his contributions in his field.
  • E. David Severin
    David Severin is a mathematician known for his work in operator algebras, particularly for contributing to the disproof of the long-standing Connes embedding problem.
  • 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: Art Simek
Triple: [Tales to Astonish #27, letterer, Art Simek]
Generated description
Art Simek was an American comic book letterer best known for his extensive work during the Silver Age of Marvel Comics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Art Simek
Target entity description: Art Simek was an American comic book letterer best known for his extensive work during the Silver Age of Marvel Comics.
  • A. Artur Brauner
    Artur Brauner was a prominent Polish-born German film producer and Holocaust survivor, known for founding the CCC Film studio and producing numerous significant postwar European films.
  • B. Roman Kroitor
    Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
  • C. Svlad Cjelli
    Svlad Cjelli is the birth name of Dirk Gently, the eccentric holistic detective from Douglas Adams' "Dirk Gently's Holistic Detective Agency" series.
  • D. Johannes Talen
    Johannes Talen is a notable individual from Amersfoort, Netherlands, recognized for his contributions in his field.
  • E. David Severin
    David Severin is a mathematician known for his work in operator algebras, particularly for contributing to the disproof of the long-standing Connes embedding problem.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77643b0348190962bf23a9857edbe completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f778f01700819099c3e9cbc84f29e4 completed May 3, 2026, 4:33 p.m.
Created at: April 9, 2026, 9:49 p.m.