Triple

T3285552
Position Surface form Disambiguated ID Type / Status
Subject San Diego Comic-Con Comics #2 E68972 entity
Predicate featuresCreator P47714 FINISHED
Object John Byrne
John Byrne is a renowned comic book writer and artist best known for his influential work on titles like X-Men, Fantastic Four, and Superman.
 E344069 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: John Byrne | Statement: [San Diego Comic-Con Comics #2, featuresCreator, John Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Byrne
Context triple: [San Diego Comic-Con Comics #2, featuresCreator, John Byrne]
  • A. Michael Madden
    Michael Madden is one of the sons of legendary American football coach and broadcaster John Madden.
  • B. John Alderman
    John Alderman was a Native American allied with the English colonists who became historically known for killing the Wampanoag leader Metacomet (King Philip) during King Philip’s War.
  • C. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • D. John Gilroy
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • E. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • 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: John Byrne
Triple: [San Diego Comic-Con Comics #2, featuresCreator, John Byrne]
Generated description
John Byrne is a renowned comic book writer and artist best known for his influential work on titles like X-Men, Fantastic Four, and Superman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Byrne
Target entity description: John Byrne is a renowned comic book writer and artist best known for his influential work on titles like X-Men, Fantastic Four, and Superman.
  • A. Michael Madden
    Michael Madden is one of the sons of legendary American football coach and broadcaster John Madden.
  • B. John Alderman
    John Alderman was a Native American allied with the English colonists who became historically known for killing the Wampanoag leader Metacomet (King Philip) during King Philip’s War.
  • C. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • D. John Gilroy
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • E. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03918c48190987d7cfd3bda9716 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9783918819085ea73a8ed815f65 completed March 12, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea0189948190b1dab60aecf04b73 completed March 12, 2026, 4:29 p.m.
Created at: March 8, 2026, 3:10 p.m.