Triple

T4663537
Position Surface form Disambiguated ID Type / Status
Subject Avengers Grimm E102789 entity
Predicate cinematographyBy P1953 FINISHED
Object Ben Demaree
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
E463497 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: Ben Demaree | Statement: [Avengers Grimm, cinematographyBy, Ben Demaree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Demaree
Context triple: [Avengers Grimm, cinematographyBy, Ben Demaree]
  • A. Paul Wernick
    Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
  • B. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • C. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Marty Katz
    Marty Katz is a film producer known for his work on movies such as the World War II drama "The Great Raid."
  • 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: Ben Demaree
Triple: [Avengers Grimm, cinematographyBy, Ben Demaree]
Generated description
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ben Demaree
Target entity description: Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
  • A. Paul Wernick
    Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
  • B. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • C. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Marty Katz
    Marty Katz is a film producer known for his work on movies such as the World War II drama "The Great Raid."
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104581548190b3f2a294770015fa completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be10eb62fc8190a9c3d6a125b4f452 completed March 21, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69be111e54d08190a0e1aa10d6c16ea6 completed March 21, 2026, 3:31 a.m.
Created at: March 20, 2026, 1:15 p.m.