Triple

T15710705
Position Surface form Disambiguated ID Type / Status
Subject Michael Berg E380828 entity
Predicate portrayedBy P1507 FINISHED
Object David Kross E445847 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: David Kross | Statement: [Michael Berg, portrayedBy, David Kross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kross
Context triple: [Michael Berg, portrayedBy, David Kross]
  • A. David Kross chosen
    David Kross is a German actor best known internationally for his acclaimed performance as the young Michael Berg in the film "The Reader."
  • B. Eric Pleskow
    Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
  • C. Scott Ehrlich
    Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • D. Scott Kroopf
    Scott Kroopf is an American film producer known for his work on numerous Hollywood features, including the science-fiction adventure film "Zathura: A Space Adventure."
  • E. Jeff Kirschenbaum
    Jeff Kirschenbaum is a Hollywood film producer known for working on major studio features, including big-budget family and action movies.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe650c8481909d1c1661b20eac73 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:45 a.m.