Triple

T3630447
Position Surface form Disambiguated ID Type / Status
Subject Horton Hears a Who! E76941 entity
Predicate editor P1954 FINISHED
Object Timothy Mertens
Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
 E385329 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: Timothy Mertens | Statement: [Horton Hears a Who!, editor, Timothy Mertens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timothy Mertens
Context triple: [Horton Hears a Who!, editor, Timothy Mertens]
  • A. John Schehr
    John Schehr was a German communist politician and anti-fascist resistance figure who briefly led the Communist Party of Germany before being killed by the Nazis in 1934.
  • B. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • C. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • D. Erik Heinrichs
    Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
  • E. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • 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: Timothy Mertens
Triple: [Horton Hears a Who!, editor, Timothy Mertens]
Generated description
Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timothy Mertens
Target entity description: Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
  • A. John Schehr
    John Schehr was a German communist politician and anti-fascist resistance figure who briefly led the Communist Party of Germany before being killed by the Nazis in 1934.
  • B. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • C. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • D. Erik Heinrichs
    Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
  • E. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • 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_69b4e4dcd15c8190a763363adb7740c4 completed March 14, 2026, 4:32 a.m.
NEDg Description generation batch_69b4e56d65b08190a2ee4619ec09ba0f completed March 14, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69b4e5de1e788190b99e32d4fa2a0942 completed March 14, 2026, 4:36 a.m.
Created at: March 8, 2026, 3:23 p.m.