Triple

T22364917
Position Surface form Disambiguated ID Type / Status
Subject Dutch Dehnert E552877 entity
Predicate nickname P55 FINISHED
Object Dutch
Dutch is the nickname of Dutch Dehnert, an American basketball player and coach known for his role in the early development of professional basketball.
 E1532240 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: Dutch | Statement: [Dutch Dehnert, nickname, Dutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dutch
Context triple: [Dutch Dehnert, nickname, Dutch]
  • A. Dutch
    Dutch is the nickname of Dutch Wagenbach, a tough, morally complex detective character from the television series "The Shield."
  • B. Dutch
    Dutch is a West Germanic language spoken primarily in the Netherlands and Belgium, serving as the basis for several regional and colonial varieties such as Flemish and Afrikaans.
  • C. Dutch
    Dutch is the battle-hardened special forces major portrayed by Arnold Schwarzenegger in the 1987 science fiction action film "Predator."
  • D. Dutch
    Dutch is a tough, heavy-weapons specialist and member of the Orbital Drop Shock Troopers (ODST) squad in the video game Halo 3: ODST.
  • E. Nederlander
    Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
  • 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: Dutch
Triple: [Dutch Dehnert, nickname, Dutch]
Generated description
Dutch is the nickname of Dutch Dehnert, an American basketball player and coach known for his role in the early development of professional basketball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dutch
Target entity description: Dutch is the nickname of Dutch Dehnert, an American basketball player and coach known for his role in the early development of professional basketball.
  • A. Dutch
    Dutch is a West Germanic language spoken primarily in the Netherlands and Belgium, serving as the basis for several regional and colonial varieties such as Flemish and Afrikaans.
  • B. Dutch
    Dutch is a tough, heavy-weapons specialist and member of the Orbital Drop Shock Troopers (ODST) squad in the video game Halo 3: ODST.
  • C. Dutch
    Dutch is the nickname of Dutch Wagenbach, a tough, morally complex detective character from the television series "The Shield."
  • D. Dutch
    Dutch is the battle-hardened special forces major portrayed by Arnold Schwarzenegger in the 1987 science fiction action film "Predator."
  • E. Nederlander
    Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ffba088190ae455508eb6c2a9c completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae065f01481909ddf2c27e2b471bf completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae16a8bcc8190852dd17f9c780123 completed May 18, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae1e16fac8190b0b56d00a87d173f completed May 18, 2026, 9:54 a.m.
Created at: April 16, 2026, 8:44 p.m.