Triple

T1748827
Position Surface form Disambiguated ID Type / Status
Subject Zootopia E38393 entity
Predicate voiceActor P1507 FINISHED
Object Nate Torrence
Nate Torrence is an American actor and comedian best known for his character roles in film and television, including voice work in animated features.
 E197220 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: Nate Torrence | Statement: [Zootopia, voiceActor, Nate Torrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nate Torrence
Context triple: [Zootopia, voiceActor, Nate Torrence]
  • A. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • B. Nat Hickey
    Nat Hickey was an early professional basketball player and coach best known for briefly appearing in an NBA game at age 45, making him the oldest player in league history.
  • C. Jack R. Gage
    Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
  • D. Paul Sheldon
    Paul Sheldon is a fictional novelist and the tormented protagonist of Stephen King’s psychological horror novel "Misery."
  • E. Raymond Holt
    Raymond Holt is a stoic, hyper-competent, and deadpan NYPD captain known for his leadership of the 99th precinct and his subtle, dry humor on the sitcom "Brooklyn Nine-Nine."
  • 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: Nate Torrence
Triple: [Zootopia, voiceActor, Nate Torrence]
Generated description
Nate Torrence is an American actor and comedian best known for his character roles in film and television, including voice work in animated features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nate Torrence
Target entity description: Nate Torrence is an American actor and comedian best known for his character roles in film and television, including voice work in animated features.
  • A. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • B. Nat Hickey
    Nat Hickey was an early professional basketball player and coach best known for briefly appearing in an NBA game at age 45, making him the oldest player in league history.
  • C. Jack R. Gage
    Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
  • D. Paul Sheldon
    Paul Sheldon is a fictional novelist and the tormented protagonist of Stephen King’s psychological horror novel "Misery."
  • E. Raymond Holt
    Raymond Holt is a stoic, hyper-competent, and deadpan NYPD captain known for his leadership of the 99th precinct and his subtle, dry humor on the sitcom "Brooklyn Nine-Nine."
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e21e58819082943212bd725581 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2fb9481909d9ed587921ca6b6 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada4dfc9188190845a4e4490318d68 completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:31 p.m.