Triple

T17883514
Position Surface form Disambiguated ID Type / Status
Subject A Game of You E447146 entity
Predicate colorist P36862 FINISHED
Object Daniel Vozzo
Daniel Vozzo is a comic book colorist best known for his work on Neil Gaiman’s Sandman series and other major titles for DC and Vertigo.
E1325077 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: Daniel Vozzo | Statement: [A Game of You, colorist, Daniel Vozzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Vozzo
Context triple: [A Game of You, colorist, Daniel Vozzo]
  • A. Jesse Voccia
    Jesse Voccia is a film and television composer best known for scoring the crime drama series "Bosch."
  • B. Joel Ventresca
    Joel Ventresca is a San Francisco-based political figure and longtime city employee known for his progressive activism and multiple campaigns for mayor.
  • C. Aaron Volpatti
    Aaron Volpatti is a former Canadian professional ice hockey left winger who played in the NHL, notably for the Vancouver Canucks and Washington Capitals.
  • D. Justin Cifaretto
    Justin Cifaretto is the son of New Jersey mobster Ralph Cifaretto in the television series "The Sopranos."
  • E. Dan Stanzione
    Dan Stanzione is a computer scientist and high-performance computing expert who serves as the executive director of the Texas Advanced Computing Center at the University of Texas at Austin.
  • 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: Daniel Vozzo
Triple: [A Game of You, colorist, Daniel Vozzo]
Generated description
Daniel Vozzo is a comic book colorist best known for his work on Neil Gaiman’s Sandman series and other major titles for DC and Vertigo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Vozzo
Target entity description: Daniel Vozzo is a comic book colorist best known for his work on Neil Gaiman’s Sandman series and other major titles for DC and Vertigo.
  • A. Jesse Voccia
    Jesse Voccia is a film and television composer best known for scoring the crime drama series "Bosch."
  • B. Joel Ventresca
    Joel Ventresca is a San Francisco-based political figure and longtime city employee known for his progressive activism and multiple campaigns for mayor.
  • C. Aaron Volpatti
    Aaron Volpatti is a former Canadian professional ice hockey left winger who played in the NHL, notably for the Vancouver Canucks and Washington Capitals.
  • D. Justin Cifaretto
    Justin Cifaretto is the son of New Jersey mobster Ralph Cifaretto in the television series "The Sopranos."
  • E. Dan Stanzione
    Dan Stanzione is a computer scientist and high-performance computing expert who serves as the executive director of the Texas Advanced Computing Center at the University of Texas at Austin.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c1016508190857adce1a0fbb355 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a040fc5bcac819085d6f513f5db158b completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a04110811d081909638d9b6e88306cf completed May 13, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a04116c6f14819084db2da960fef77a completed May 13, 2026, 5:51 a.m.
Created at: April 10, 2026, 10:18 a.m.