Triple

T15675470
Position Surface form Disambiguated ID Type / Status
Subject Jon Arbuckle E377430 entity
Predicate voicedBy P2181 FINISHED
Object Thom Huge
Thom Huge is an American voice actor best known for portraying Jon Arbuckle in the animated Garfield television specials and series.
 E1171354 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: Thom Huge | Statement: [Jon Arbuckle, voicedBy, Thom Huge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thom Huge
Context triple: [Jon Arbuckle, voicedBy, Thom Huge]
  • A. Tim Thomerson
    Tim Thomerson is an American actor and comedian best known for his roles in cult science fiction and action films such as the "Trancers" series.
  • B. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • C. Ken Thorne
    Ken Thorne was a British composer and Oscar-winning film scorer known for his work on major films including entries in the Superman series.
  • D. Gaear Grimsrud
    Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
  • E. John Enbom
    John Enbom is a television writer and producer best known as a co-creator and showrunner of the cult comedy series "Party Down."
  • 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: Thom Huge
Triple: [Jon Arbuckle, voicedBy, Thom Huge]
Generated description
Thom Huge is an American voice actor best known for portraying Jon Arbuckle in the animated Garfield television specials and series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thom Huge
Target entity description: Thom Huge is an American voice actor best known for portraying Jon Arbuckle in the animated Garfield television specials and series.
  • A. Tim Thomerson
    Tim Thomerson is an American actor and comedian best known for his roles in cult science fiction and action films such as the "Trancers" series.
  • B. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • C. Ken Thorne
    Ken Thorne was a British composer and Oscar-winning film scorer known for his work on major films including entries in the Superman series.
  • D. Gaear Grimsrud
    Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
  • E. John Enbom
    John Enbom is a television writer and producer best known as a co-creator and showrunner of the cult comedy series "Party Down."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.