Triple

T5657394
Position Surface form Disambiguated ID Type / Status
Subject Notorious (film) E124651 entity
Predicate editedBy P1954 FINISHED
Object Dirk Westervelt
Dirk Westervelt is a film editor known for his work on major feature films, including the crime drama "Notorious."
E537758 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: Dirk Westervelt | Statement: [Notorious (film), editedBy, Dirk Westervelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirk Westervelt
Context triple: [Notorious (film), editedBy, Dirk Westervelt]
  • A. Dirk Roosenburg
    Dirk Roosenburg was a prominent Dutch architect known for his early 20th-century modernist designs and as the grandfather of architect Rem Koolhaas.
  • B. Max Deuring
    Max Deuring was a German mathematician known for his influential work in algebraic number theory and the theory of algebraic function fields.
  • C. Dirk Frimout
    Dirk Frimout is a Belgian astrophysicist and astronaut who became the first Belgian in space during a Space Shuttle mission.
  • D. Tom Veldkamp
    Tom Veldkamp is a Dutch academic and professor who serves as rector magnificus (chief academic officer) of the University of Twente.
  • E. Christian Huitema
    Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
  • 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: Dirk Westervelt
Triple: [Notorious (film), editedBy, Dirk Westervelt]
Generated description
Dirk Westervelt is a film editor known for his work on major feature films, including the crime drama "Notorious."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dirk Westervelt
Target entity description: Dirk Westervelt is a film editor known for his work on major feature films, including the crime drama "Notorious."
  • A. Dirk Roosenburg
    Dirk Roosenburg was a prominent Dutch architect known for his early 20th-century modernist designs and as the grandfather of architect Rem Koolhaas.
  • B. Max Deuring
    Max Deuring was a German mathematician known for his influential work in algebraic number theory and the theory of algebraic function fields.
  • C. Dirk Frimout
    Dirk Frimout is a Belgian astrophysicist and astronaut who became the first Belgian in space during a Space Shuttle mission.
  • D. Tom Veldkamp
    Tom Veldkamp is a Dutch academic and professor who serves as rector magnificus (chief academic officer) of the University of Twente.
  • E. Christian Huitema
    Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fc54f08190aacc200be31a4256 completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9ec1248190aff680acb4064a49 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.