Triple

T21439857
Position Surface form Disambiguated ID Type / Status
Subject High Life E528908 entity
Predicate starring P1507 FINISHED
Object Lars Eidinger 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: Lars Eidinger | Statement: [High Life, starring, Lars Eidinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lars Eidinger
Context triple: [High Life, starring, Lars Eidinger]
  • A. Lars Eidinger chosen
    Lars Eidinger is a German actor known for his work in both arthouse cinema and mainstream films, as well as for acclaimed stage performances at Berlin's Schaubühne theatre.
  • B. Christian Hebel
    Christian Hebel is an American violinist and concertmaster known for his work on Broadway productions, film scores, and live performances with prominent recording artists.
  • C. Andreas Scholl
    Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
  • D. Steffen Zacharias
    Steffen Zacharias was a Greek-born character actor known for his supporting roles in European and American films, particularly in spaghetti westerns and cult genre movies of the 1960s and 1970s.
  • E. Uli Wiesendanger
    Uli Wiesendanger is an advertising executive best known as a co-founder of the global advertising agency network TBWA Worldwide.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b700237c8190bbcb4bedc4242719 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.