Triple

T3776864
Position Surface form Disambiguated ID Type / Status
Subject Disaster Movie E83328 entity
Predicate cinematographyBy P1953 FINISHED
Object Shawn Maurer
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
E395333 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: Shawn Maurer | Statement: [Disaster Movie, cinematographyBy, Shawn Maurer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Maurer
Context triple: [Disaster Movie, cinematographyBy, Shawn Maurer]
  • A. Shawn Patterson
    Shawn Patterson is an American composer and songwriter best known for his work on film and television scores, including the hit song "Everything Is Awesome" from The Lego Movie.
  • B. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • C. Richie Bucher
    Richie Bucher is an artist best known for creating the cover artwork for Green Day’s breakthrough album "Dookie."
  • D. Sean Brody
    Sean Brody is a fictional character from the "Jaws" film series, known as the younger son of police chief Martin Brody.
  • E. Dennis Burkley
    Dennis Burkley was an American character actor known for his burly appearance and roles in numerous film and television productions from the 1970s through the early 2000s.
  • 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: Shawn Maurer
Triple: [Disaster Movie, cinematographyBy, Shawn Maurer]
Generated description
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shawn Maurer
Target entity description: Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
  • A. Shawn Patterson
    Shawn Patterson is an American composer and songwriter best known for his work on film and television scores, including the hit song "Everything Is Awesome" from The Lego Movie.
  • B. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • C. Richie Bucher
    Richie Bucher is an artist best known for creating the cover artwork for Green Day’s breakthrough album "Dookie."
  • D. Sean Brody
    Sean Brody is a fictional character from the "Jaws" film series, known as the younger son of police chief Martin Brody.
  • E. Dennis Burkley
    Dennis Burkley was an American character actor known for his burly appearance and roles in numerous film and television productions from the 1970s through the early 2000s.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51214d77881909a11857a8b8481f9 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b51318c0348190a665648a19ea8b51 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137d9bb0819085be156826bc945a completed March 14, 2026, 7:51 a.m.
Created at: March 8, 2026, 3:36 p.m.