Triple

T11236413
Position Surface form Disambiguated ID Type / Status
Subject Les Amants du Pont-Neuf E265951 entity
Predicate starring P1507 FINISHED
Object Klaus-Michael Grüber E937919 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: Klaus-Michael Grüber | Statement: [Les Amants du Pont-Neuf, starring, Klaus-Michael Grüber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaus-Michael Grüber
Context triple: [Les Amants du Pont-Neuf, starring, Klaus-Michael Grüber]
  • A. Klaus-Michael Grüber chosen
    Klaus-Michael Grüber was a German theatre and opera director and occasional actor, known for his influential, visually poetic stage productions across Europe.
  • B. Klaus Tschütscher
    Klaus Tschütscher is a Liechtenstein politician who served as the country's Prime Minister in the early 21st century.
  • C. Klaus Thiel
    Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
  • D. Rainer Schmid
    Rainer Schmid is a German local politician who serves as the mayor of the municipality of Gailingen am Hochrhein in Baden-Württemberg.
  • E. Klaus Fischer
    Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3185fc81908c1b838e6883de2f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:30 p.m.