Triple

T21116999
Position Surface form Disambiguated ID Type / Status
Subject Cherrybomb E520324 entity
Predicate cinematographyBy P1953 FINISHED
Object Damian Sturk
Damian Sturk is a cinematographer best known for his work on the film "Cherrybomb."
E1468094 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: Damian Sturk | Statement: [Cherrybomb, cinematographyBy, Damian Sturk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damian Sturk
Context triple: [Cherrybomb, cinematographyBy, Damian Sturk]
  • A. Damien Karp
    Damien Karp is a tightly wound, ambitious attorney and frequent foil to the laid-back leads in the legal dramedy series "Franklin & Bash."
  • B. Ryan Karazija
    Ryan Karazija was an American musician and singer-songwriter best known as the frontman and creative force behind the ambient indie project Low Roar.
  • C. Kevin Stein
    Kevin Stein is an American poet, critic, and educator known for his influential role in contemporary Midwestern poetry and service as Illinois's Poet Laureate.
  • D. John-Michael Tebelak
    John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
  • E. Damian Young
    Damian Young is an American character actor known for his work in film and television, including a notable role in the crime drama series "Ozark."
  • 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: Damian Sturk
Triple: [Cherrybomb, cinematographyBy, Damian Sturk]
Generated description
Damian Sturk is a cinematographer best known for his work on the film "Cherrybomb."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Damian Sturk
Target entity description: Damian Sturk is a cinematographer best known for his work on the film "Cherrybomb."
  • A. Damien Karp
    Damien Karp is a tightly wound, ambitious attorney and frequent foil to the laid-back leads in the legal dramedy series "Franklin & Bash."
  • B. Ryan Karazija
    Ryan Karazija was an American musician and singer-songwriter best known as the frontman and creative force behind the ambient indie project Low Roar.
  • C. Kevin Stein
    Kevin Stein is an American poet, critic, and educator known for his influential role in contemporary Midwestern poetry and service as Illinois's Poet Laureate.
  • D. John-Michael Tebelak
    John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
  • E. Damian Young
    Damian Young is an American character actor known for his work in film and television, including a notable role in the crime drama series "Ozark."
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e5b04c8190addaa49cb9f6ad06 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0969cd36b081909e24ab92c0b2ab0a completed May 17, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_6a096b373290819082f45e68772a81e4 completed May 17, 2026, 7:16 a.m.
Created at: April 16, 2026, 2:55 p.m.