Triple

T8395656
Position Surface form Disambiguated ID Type / Status
Subject The Conjuring 2 E198045 entity
Predicate starring P1507 FINISHED
Object Franka Potente E212902 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: Franka Potente | Statement: [The Conjuring 2, starring, Franka Potente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franka Potente
Context triple: [The Conjuring 2, starring, Franka Potente]
  • A. Franka Potente chosen
    Franka Potente is a German actress best known internationally for her breakout role in "Run Lola Run" and her appearances in the Bourne film series.
  • B. Annette Kurschus
    Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
  • C. Diane Kruger
    Diane Kruger is a German-born actress and former fashion model best known for her roles in films such as "Troy," "Inglourious Basterds," and "National Treasure."
  • D. Antje Traue
    Antje Traue is a German actress best known internationally for her role as the Kryptonian warrior Faora-Ul in the superhero film "Man of Steel."
  • E. Nina Hoss
    Nina Hoss is a German actress acclaimed for her powerful performances in film, television, and theater, particularly through her long-standing collaboration with director Christian Petzold.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81874d6c8190bbc0ac832d8a339d completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde85ee7b08190bfbcbed0edb142dd completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.