Triple

T15138135
Position Surface form Disambiguated ID Type / Status
Subject Beckett on Film: Footfalls E361610 entity
Predicate director P255 FINISHED
Object Walter Asmus E1143566 NE FINISHED

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: Walter Asmus | Statement: [Beckett on Film: Footfalls, director, Walter Asmus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Asmus
Context triple: [Beckett on Film: Footfalls, director, Walter Asmus]
  • A. Walter Asmus chosen
    Walter Asmus is a German theatre director best known for his long-standing collaboration with Samuel Beckett and his acclaimed productions of Beckett’s plays worldwide.
  • B. Walter Hieber
    Walter Hieber was a pioneering German inorganic chemist renowned for his foundational work in metal carbonyl chemistry and coordination compounds.
  • C. Walter Naegle
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • D. Oscar Riedener
    Oscar Riedener was a Swiss-born designer for Tiffany & Co. best known for creating the iconic Vince Lombardi Trophy awarded to the Super Bowl champion.
  • E. Fritz Affolter
    Fritz Affolter was a Swiss mountaineer known for participating in the 1956 Swiss expedition to Mount Everest and Lhotse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 3:07 a.m.