Triple

T3630472
Position Surface form Disambiguated ID Type / Status
Subject Horton Hears a Who! E76941 entity
Predicate voiceActor P1507 FINISHED
Object Josh Flitter
Josh Flitter is an American actor and voice actor known for his roles in family films and animated features during the 2000s.
 E374991 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: Josh Flitter | Statement: [Horton Hears a Who!, voiceActor, Josh Flitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josh Flitter
Context triple: [Horton Hears a Who!, voiceActor, Josh Flitter]
  • A. Justin Spitz
    Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
  • B. Jason Fuchs
    Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
  • C. Alex Flanagan
    Alex Flanagan is an American sportscaster and sideline reporter known for her work covering major NFL games and other high-profile sporting events on national television.
  • D. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • E. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • 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: Josh Flitter
Triple: [Horton Hears a Who!, voiceActor, Josh Flitter]
Generated description
Josh Flitter is an American actor and voice actor known for his roles in family films and animated features during the 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josh Flitter
Target entity description: Josh Flitter is an American actor and voice actor known for his roles in family films and animated features during the 2000s.
  • A. Justin Spitz
    Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
  • B. Jason Fuchs
    Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
  • C. Alex Flanagan
    Alex Flanagan is an American sportscaster and sideline reporter known for her work covering major NFL games and other high-profile sporting events on national television.
  • D. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • E. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f12c2608190bd0eb25c9df97ec6 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45092464c8190b9ad6db8c8845026 completed March 13, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69b450f261548190b5cd667b35453dcb completed March 13, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:23 p.m.