Triple

T9560650
Position Surface form Disambiguated ID Type / Status
Subject Dodson E230661 entity
Predicate usedBy P260 FINISHED
Object Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
E820499 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: Don Dodson | Statement: [Dodson, usedBy, Don Dodson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Dodson
Context triple: [Dodson, usedBy, Don Dodson]
  • A. Dennis Dugan
    Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
  • B. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • C. Ken Hodges
    Ken Hodges was a British cinematographer known for his work on numerous film and television productions from the 1960s through the 1980s.
  • D. Dennis Yost
    Dennis Yost was an American singer best known as the lead vocalist of the 1960s and 1970s soft rock group Classics IV, noted for hits like "Spooky" and "Traces."
  • E. Dennis Scott
    Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
  • 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: Don Dodson
Triple: [Dodson, usedBy, Don Dodson]
Generated description
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Dodson
Target entity description: Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
  • A. Dennis Dugan
    Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
  • B. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • C. Ken Hodges
    Ken Hodges was a British cinematographer known for his work on numerous film and television productions from the 1960s through the 1980s.
  • D. Dennis Yost
    Dennis Yost was an American singer best known as the lead vocalist of the 1960s and 1970s soft rock group Classics IV, noted for hits like "Spooky" and "Traces."
  • E. Dennis Scott
    Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994bde0c8190afcba5cb8fa8b984 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcaf94608190992124965a805228 completed April 5, 2026, 1:36 a.m.
NEDg Description generation batch_69d1bf70697081909daa19110c20969e completed April 5, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69d1bfd7e5c08190ae679641f5254dc7 completed April 5, 2026, 1:50 a.m.
Created at: March 30, 2026, 8:03 p.m.