Triple

T1518457
Position Surface form Disambiguated ID Type / Status
Subject Frozen E32172 entity
Predicate director P255 FINISHED
Object Chris Buck
Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
 E173780 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: Chris Buck | Statement: [Frozen, director, Chris Buck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chris Buck
Context triple: [Frozen, director, Chris Buck]
  • A. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • B. Martin Hurson
    Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
  • C. Mike Gunton
    Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
  • D. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • E. Peter Hunt
    Peter Hunt is a British film editor and director best known for his work on the early James Bond films, including directing "On Her Majesty's Secret Service."
  • 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: Chris Buck
Triple: [Frozen, director, Chris Buck]
Generated description
Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chris Buck
Target entity description: Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
  • A. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • B. Martin Hurson
    Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
  • C. Mike Gunton
    Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
  • D. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • E. Peter Hunt
    Peter Hunt is a British film editor and director best known for his work on the early James Bond films, including directing "On Her Majesty's Secret Service."
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907ed44ac8190953e428c831e24df completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294b16e481908a0b3cf7fd774caa completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29f4edc48190b78a6df091e289ab completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a78b9608190b70f8d0ae531618d completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.