Triple

T15493307
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man Noir E378749 entity
Predicate creator P184 FINISHED
Object Fabrice Sapolsky
Fabrice Sapolsky is a French comic book writer, editor, and publisher best known for co-creating the Marvel Comics character Spider-Man Noir.
E1161294 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: Fabrice Sapolsky | Statement: [Spider-Man Noir, creator, Fabrice Sapolsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabrice Sapolsky
Context triple: [Spider-Man Noir, creator, Fabrice Sapolsky]
  • A. Daniel Shere
    Daniel Shere is a screenwriter best known for his work on the animated film "Epic."
  • B. Michel Fessler
    Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
  • C. Fulvio Morsella
    Fulvio Morsella is an Italian screenwriter best known for his work on classic Spaghetti Western films, including collaborations with director Sergio Leone.
  • D. Fulvio Morsella
    Fulvio Morsella is an Italian film producer best known for his work on classic Spaghetti Westerns, including collaborations with director Sergio Leone.
  • E. Jeffrey Friedman
    Jeffrey Friedman is an American documentary filmmaker known for co-directing acclaimed non-fiction films, often exploring cultural and social issues.
  • 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: Fabrice Sapolsky
Triple: [Spider-Man Noir, creator, Fabrice Sapolsky]
Generated description
Fabrice Sapolsky is a French comic book writer, editor, and publisher best known for co-creating the Marvel Comics character Spider-Man Noir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fabrice Sapolsky
Target entity description: Fabrice Sapolsky is a French comic book writer, editor, and publisher best known for co-creating the Marvel Comics character Spider-Man Noir.
  • A. Daniel Shere
    Daniel Shere is a screenwriter best known for his work on the animated film "Epic."
  • B. Michel Fessler
    Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
  • C. Fulvio Morsella
    Fulvio Morsella is an Italian screenwriter best known for his work on classic Spaghetti Western films, including collaborations with director Sergio Leone.
  • D. Fulvio Morsella
    Fulvio Morsella is an Italian film producer best known for his work on classic Spaghetti Westerns, including collaborations with director Sergio Leone.
  • E. Jeffrey Friedman
    Jeffrey Friedman is an American documentary filmmaker known for co-directing acclaimed non-fiction films, often exploring cultural and social issues.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.