Triple

T13694701
Position Surface form Disambiguated ID Type / Status
Subject What Men Want E328353 entity
Predicate starring P1507 FINISHED
Object Josh Brener
Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
E1072499 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: Josh Brener | Statement: [What Men Want, starring, Josh Brener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Brener
Context triple: [What Men Want, starring, Josh Brener]
  • A. Eric Bauza
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • B. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • C. Jesse Macht
    Jesse Macht is an American singer-songwriter and musician known for his melodic pop-rock style and work as a solo artist and band member.
  • D. Gene Draper
    Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
  • E. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • 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: Josh Brener
Triple: [What Men Want, starring, Josh Brener]
Generated description
Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Josh Brener
Target entity description: Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
  • A. Eric Bauza
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • B. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • C. Jesse Macht
    Jesse Macht is an American singer-songwriter and musician known for his melodic pop-rock style and work as a solo artist and band member.
  • D. Gene Draper
    Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
  • E. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b661e4819087bac0cd84489baa completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba7f116608190b664d0dc8027af38 completed May 6, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69fba8fe11c881908662d8e8e1720ea4 completed May 6, 2026, 8:47 p.m.
Created at: April 9, 2026, 9:54 p.m.