Triple

T11345707
Position Surface form Disambiguated ID Type / Status
Subject Alexander Fehling E268705 entity
Predicate hasWorkedWith P9615 FINISHED
Object Daniel Brühl E226237 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: Daniel Brühl | Statement: [Alexander Fehling, hasWorkedWith, Daniel Brühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Brühl
Context triple: [Alexander Fehling, hasWorkedWith, Daniel Brühl]
  • A. Daniel Brühl chosen
    Daniel Brühl is a German-Spanish actor known for his acclaimed performances in films such as "Good Bye, Lenin!", "Inglourious Basterds," and "Rush," as well as for his role as Helmut Zemo in the Marvel Cinematic Universe.
  • B. Sebastian Koch
    Sebastian Koch is a German actor known for his acclaimed performances in films such as "The Lives of Others" and various international productions.
  • C. Armin Mueller-Stahl
    Armin Mueller-Stahl is a German actor and former East German film star known internationally for his versatile performances in both European cinema and Hollywood films.
  • D. Hanno Brühl
    Hanno Brühl was a German television director and the father of actor Daniel Brühl.
  • E. Gian Maria Volonté
    Gian Maria Volonté was an acclaimed Italian actor best known for his intense, politically charged performances and memorable villain roles in classic Spaghetti Westerns.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5437fb1208190892fa6b05c92478e completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.