Triple

T9741017
Position Surface form Disambiguated ID Type / Status
Subject The Butterfly Effect E236183 entity
Predicate productionCompany P490 FINISHED
Object Benderspink E223078 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: Benderspink | Statement: [The Butterfly Effect, productionCompany, Benderspink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benderspink
Context triple: [The Butterfly Effect, productionCompany, Benderspink]
  • A. Benderspink chosen
    Benderspink was an American film and television production company known for developing and producing a range of Hollywood comedies, genre films, and studio projects.
  • B. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • C. Prangins
    Prangins is a municipality in the canton of Vaud in western Switzerland, known for its historic village and the Château de Prangins, which houses part of the Swiss National Museum.
  • D. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • E. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.