Triple

T14752218
Position Surface form Disambiguated ID Type / Status
Subject Burnt E346637 entity
Predicate starring P1507 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: [Burnt, starring, Daniel Brühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Brühl
Context triple: [Burnt, starring, 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.