Triple

T7809380
Position Surface form Disambiguated ID Type / Status
Subject Grandma's Boy E180638 entity
Predicate editedBy P1954 FINISHED
Object Thomas J. Crizer
Thomas J. Crizer is a film editor known for his work on the comedy movie "Grandma's Boy."
 E796961 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: Thomas J. Crizer | Statement: [Grandma's Boy, editedBy, Thomas J. Crizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas J. Crizer
Context triple: [Grandma's Boy, editedBy, Thomas J. Crizer]
  • A. John Hembree
    John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
  • B. G. Wayne Clough
    G. Wayne Clough is an American civil engineer and academic leader best known for serving as president of the Georgia Institute of Technology and as the 12th Secretary of the Smithsonian Institution.
  • C. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • D. Paul Satterfield
    Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
  • E. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • 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: Thomas J. Crizer
Triple: [Grandma's Boy, editedBy, Thomas J. Crizer]
Generated description
Thomas J. Crizer is a film editor known for his work on the comedy movie "Grandma's Boy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas J. Crizer
Target entity description: Thomas J. Crizer is a film editor known for his work on the comedy movie "Grandma's Boy."
  • A. John Hembree
    John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
  • B. G. Wayne Clough
    G. Wayne Clough is an American civil engineer and academic leader best known for serving as president of the Georgia Institute of Technology and as the 12th Secretary of the Smithsonian Institution.
  • C. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • D. Paul Satterfield
    Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
  • E. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78bb4b08190b2b3b51c5a0a033c completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1076c28b08190a5a0ab74ccfb9909 completed April 4, 2026, 12:43 p.m.
NEDg Description generation batch_69d107ebdd4c819084eff70c0b31d693 completed April 4, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69d1085b8ce4819086fe3a006f9ea13f completed April 4, 2026, 12:47 p.m.
Created at: March 30, 2026, 4:36 p.m.