Triple

T20469391
Position Surface form Disambiguated ID Type / Status
Subject The Seven-Ups E502143 entity
Predicate screenwriter P2831 FINISHED
Object Albert Ruben NE NERFINISHED

How this triple was built (2 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: Albert Ruben | Statement: [The Seven-Ups, screenwriter, Albert Ruben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Ruben
Context triple: [The Seven-Ups, screenwriter, Albert Ruben]
  • A. Albert Ruben chosen
    Albert Ruben is a screenwriter best known for his work on the 1973 crime thriller film "The Seven-Ups."
  • B. Andries Bonger
    Andries Bonger was a Dutch art collector and dealer closely connected to the Van Gogh family and the early promotion of Vincent van Gogh’s work.
  • C. Gerrit Jan Gorter
    Gerrit Jan Gorter is a Dutch local politician who serves as the mayor of the municipality of Zeewolde in the Netherlands.
  • D. Frits van der Meer
    Frits van der Meer is a notable individual, likely recognized for significant contributions in his professional or public field.
  • E. Johannes Martinus Burgers
    Johannes Martinus Burgers was a Dutch physicist and mathematician best known for his foundational work in fluid dynamics and the development of the Burgers equation, an important simplified model of turbulence and nonlinear wave phenomena.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995f753081909bbe03f7c251d9c1 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.