Triple

T19833134
Position Surface form Disambiguated ID Type / Status
Subject The Happytime Murders E476511 entity
Predicate screenwriter P2831 FINISHED
Object Todd Berger
Todd Berger is an American filmmaker and screenwriter known for his work on darkly comedic films such as "The Happytime Murders."
E1401977 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: Todd Berger | Statement: [The Happytime Murders, screenwriter, Todd Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Berger
Context triple: [The Happytime Murders, screenwriter, Todd Berger]
  • A. Wally Berger
    Wally Berger was an American Major League Baseball center fielder best known as a power hitter for the Boston Braves in the 1930s.
  • B. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • C. Scott McAuliffe
    Scott McAuliffe is the son of Christa McAuliffe, the teacher and astronaut who died in the 1986 Space Shuttle Challenger disaster.
  • D. Todd Gill
    Todd Gill is a Canadian former professional ice hockey defenceman who played over 1,000 NHL games, primarily with the Toronto Maple Leafs, and later became a coach.
  • E. Craig Berenson
    Craig Berenson is a film producer best known for his work on the action-thriller movie "Snakes on a Plane."
  • 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: Todd Berger
Triple: [The Happytime Murders, screenwriter, Todd Berger]
Generated description
Todd Berger is an American filmmaker and screenwriter known for his work on darkly comedic films such as "The Happytime Murders."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Todd Berger
Target entity description: Todd Berger is an American filmmaker and screenwriter known for his work on darkly comedic films such as "The Happytime Murders."
  • A. Wally Berger
    Wally Berger was an American Major League Baseball center fielder best known as a power hitter for the Boston Braves in the 1930s.
  • B. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • C. Scott McAuliffe
    Scott McAuliffe is the son of Christa McAuliffe, the teacher and astronaut who died in the 1986 Space Shuttle Challenger disaster.
  • D. Todd Gill
    Todd Gill is a Canadian former professional ice hockey defenceman who played over 1,000 NHL games, primarily with the Toronto Maple Leafs, and later became a coach.
  • E. Craig Berenson
    Craig Berenson is a film producer best known for his work on the action-thriller movie "Snakes on a Plane."
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cf7e488190b4be28b5e7b363bf completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea3386a48190a0c3ef68d88e9e40 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07efd91ee081909ea3f16de5aa3cab completed May 16, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07f04b54a0819087048650f5d180d8 completed May 16, 2026, 4:19 a.m.
Created at: April 10, 2026, 1:50 p.m.