Triple

T15599320
Position Surface form Disambiguated ID Type / Status
Subject Mayor Ned McDodd E374988 entity
Predicate hasChild P369 FINISHED
Object Hollis McDodd
Hollis McDodd is one of the many children in the McDodd family from Dr. Seuss’s "Horton Hears a Who!" and its adaptations.
E1180669 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: Hollis McDodd | Statement: [Mayor Ned McDodd, hasChild, Hollis McDodd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollis McDodd
Context triple: [Mayor Ned McDodd, hasChild, Hollis McDodd]
  • A. Hollis Mason
    Hollis Mason is the original Nite Owl, a retired costumed vigilante and former police officer from the Watchmen universe who later chronicles his experiences in a memoir.
  • B. Hollis Barton
    Hollis Barton is a screenwriter best known for co-writing the apocalyptic Christian thriller film "The Omega Code."
  • C. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • D. Cleo McDowell
    Cleo McDowell is a fast-food restaurant owner and the protective father of Lisa McDowell in the comedy film "Coming to America."
  • E. Hollis Mulwray
    Hollis Mulwray is a key character in the film "Chinatown," serving as Los Angeles's chief water engineer whose mysterious death drives the movie's central investigation.
  • 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: Hollis McDodd
Triple: [Mayor Ned McDodd, hasChild, Hollis McDodd]
Generated description
Hollis McDodd is one of the many children in the McDodd family from Dr. Seuss’s "Horton Hears a Who!" and its adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hollis McDodd
Target entity description: Hollis McDodd is one of the many children in the McDodd family from Dr. Seuss’s "Horton Hears a Who!" and its adaptations.
  • A. Hollis Mason
    Hollis Mason is the original Nite Owl, a retired costumed vigilante and former police officer from the Watchmen universe who later chronicles his experiences in a memoir.
  • B. Hollis Barton
    Hollis Barton is a screenwriter best known for co-writing the apocalyptic Christian thriller film "The Omega Code."
  • C. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • D. Cleo McDowell
    Cleo McDowell is a fast-food restaurant owner and the protective father of Lisa McDowell in the comedy film "Coming to America."
  • E. Hollis Mulwray
    Hollis Mulwray is a key character in the film "Chinatown," serving as Los Angeles's chief water engineer whose mysterious death drives the movie's central investigation.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa124e7d48190ac25e9541dea0122 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa1a919b481909c0007411535588b completed May 9, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4212ca88190973d68dfbd8e103a completed May 9, 2026, 9:16 p.m.
Created at: April 10, 2026, 4:12 a.m.