Triple

T3630463
Position Surface form Disambiguated ID Type / Status
Subject Horton Hears a Who! E76941 entity
Predicate characterVoiced P13156 FINISHED
Object Morton
Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
 E374989 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: Morton | Statement: [Horton Hears a Who!, characterVoiced, Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morton
Context triple: [Horton Hears a Who!, characterVoiced, Morton]
  • A. Moston
    Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
  • B. Manton
    Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
  • C. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • D. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • E. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • 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: Morton
Triple: [Horton Hears a Who!, characterVoiced, Morton]
Generated description
Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morton
Target entity description: Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
  • A. Moston
    Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
  • B. Manton
    Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
  • C. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • D. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • E. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • 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.