Triple

T11329229
Position Surface form Disambiguated ID Type / Status
Subject Home E268298 entity
Predicate voiceActor P1507 FINISHED
Object Brian Stepanek
Brian Stepanek is an American actor and voice actor best known for his comedic roles on Disney Channel series and his voice work in animated films and television shows.
E922667 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: Brian Stepanek | Statement: [Home, voiceActor, Brian Stepanek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Stepanek
Context triple: [Home, voiceActor, Brian Stepanek]
  • A. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • B. Michael Marino
    Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
  • C. Josh Graham
    Josh Graham is a visual artist and designer known for creating album artwork and multimedia visuals for prominent rock and metal bands.
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Warde Donovan
    Warde Donovan was an American actor best known for his marriage to pioneering stand-up comedian Phyllis Diller.
  • 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: Brian Stepanek
Triple: [Home, voiceActor, Brian Stepanek]
Generated description
Brian Stepanek is an American actor and voice actor best known for his comedic roles on Disney Channel series and his voice work in animated films and television shows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Stepanek
Target entity description: Brian Stepanek is an American actor and voice actor best known for his comedic roles on Disney Channel series and his voice work in animated films and television shows.
  • A. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • B. Michael Marino
    Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
  • C. Josh Graham
    Josh Graham is a visual artist and designer known for creating album artwork and multimedia visuals for prominent rock and metal bands.
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Warde Donovan
    Warde Donovan was an American actor best known for his marriage to pioneering stand-up comedian Phyllis Diller.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b4ec4ac81908d51e3815a054704 completed April 20, 2026, 2:11 a.m.
NEDg Description generation batch_69e59323c5948190bc2c9512f7b0a54f completed April 20, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69e599c53704819097c0fdbbfbbb1e87 completed April 20, 2026, 3:13 a.m.
Created at: April 8, 2026, 9:32 p.m.