Triple

T17018134
Position Surface form Disambiguated ID Type / Status
Subject Lola E412873 entity
Predicate follows P134 FINISHED
Object Veronika Voss E1105127 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: Veronika Voss | Statement: [Lola, follows, Veronika Voss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronika Voss
Context triple: [Lola, follows, Veronika Voss]
  • A. Veronika Voss chosen
    Veronika Voss is a 1982 German drama film by Rainer Werner Fassbinder that portrays the tragic decline of a former UFA movie star in postwar Munich.
  • B. Die Frau im Fenster
    Die Frau im Fenster is a dramatic work by Austrian writer Hugo von Hofmannsthal, reflecting his early symbolist and psychological style.
  • C. Berlin Alexanderplatz
    Berlin Alexanderplatz is a major public square and transport hub in central Berlin, known for its shopping areas, historic sites, and proximity to the iconic TV Tower.
  • D. The American Friend
    The American Friend is a 1977 neo-noir thriller film directed by Wim Wenders, adapted from Patricia Highsmith’s Ripley’s Game and noted for its moody atmosphere and morally ambiguous characters.
  • E. Stroszek
    Stroszek is a 1977 German film by Werner Herzog that follows a troubled street performer who emigrates from Berlin to rural America, blending bleak realism with darkly absurd humor.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.