Triple

T20469422
Position Surface form Disambiguated ID Type / Status
Subject The Seven-Ups E502145 entity
Predicate cinematographyBy P1953 FINISHED
Object Urs Furrer 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: Urs Furrer | Statement: [The Seven-Ups, cinematographyBy, Urs Furrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urs Furrer
Context triple: [The Seven-Ups, cinematographyBy, Urs Furrer]
  • A. Urs Furrer chosen
    Urs Furrer was a cinematographer known for his work on the 1973 crime thriller film "The Seven-Ups."
  • B. Armin Furrer
    Armin Furrer was a mountaineer known for making the first recorded ascent of Mount Washington.
  • C. Reinhard Furrer
    Reinhard Furrer was a German physicist and astronaut who flew on NASA’s Space Shuttle mission STS-61-A (D-1), becoming one of West Germany’s first spacefarers.
  • D. Urs Fischer
    Urs Fischer is a Swiss contemporary artist known for his large-scale, often surreal sculptures and installations that play with everyday objects and materials.
  • E. Urs Fischer
    Urs Fischer is a Swiss football manager and former defender best known for his successful coaching spells at FC Basel and 1. FC Union Berlin.
  • 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.