Triple

T13997727
Position Surface form Disambiguated ID Type / Status
Subject Michael Badalucco E336743 entity
Predicate notableWork P4 FINISHED
Object Mac
Mac is a character portrayed by Michael Badalucco, best known as the endearing and quirky private investigator on the television series "The Practice."
E1074702 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: Mac | Statement: [Michael Badalucco, notableWork, Mac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac
Context triple: [Michael Badalucco, notableWork, Mac]
  • A. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • B. Mac
    Mac is the young, imaginative boy protagonist of the animated series "Foster's Home for Imaginary Friends," known for his close bond with his imaginary friend Bloo.
  • C. Mac
    Mac is the nickname of Willie McCovey, the Hall of Fame Major League Baseball first baseman best known for his years with the San Francisco Giants.
  • D. Mac
    Mac is a Gaelic patronymic prefix meaning "son of," commonly used in Scottish and Irish surnames.
  • E. Mac
    Mac is a clever and resourceful Scottish hen who plays a key role among the flock in the animated film "Chicken Run: Dawn of the Nugget."
  • 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: Mac
Triple: [Michael Badalucco, notableWork, Mac]
Generated description
Mac is a character portrayed by Michael Badalucco, best known as the endearing and quirky private investigator on the television series "The Practice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mac
Target entity description: Mac is a character portrayed by Michael Badalucco, best known as the endearing and quirky private investigator on the television series "The Practice."
  • A. Mac
    Mac is one of the main characters on the sitcom "It's Always Sunny in Philadelphia," known for his delusional self-image, obsession with toughness and martial arts, and often misguided religious zeal.
  • B. Mac
    Mac is the young, imaginative boy protagonist of the animated series "Foster's Home for Imaginary Friends," known for his close bond with his imaginary friend Bloo.
  • C. Mac
    Mac is a 1992 drama film directed by and starring John Turturro, focusing on the struggles and pride of a working-class Italian-American carpenter in New York.
  • D. Mac
    Mac is the affectionate nickname used by fans for the resourceful TV character Angus MacGyver from the action-adventure series "MacGyver."
  • E. Mac
    Mac is a clever and resourceful Scottish hen who plays a key role among the flock in the animated film "Chicken Run: Dawn of the Nugget."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9f1f6c8190af7ddac920661bd5 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae3d04f081908c8d28148b4f1de0 completed May 6, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf41636c8190bf44bd238bd9d9a4 completed May 6, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:19 p.m.