Triple

T23436176
Position Surface form Disambiguated ID Type / Status
Subject Little Women (2022 TV series) E563466 entity
Predicate developer P73 FINISHED
Object Studio Dragon 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: Studio Dragon | Statement: [Little Women (2022 TV series), developer, Studio Dragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Studio Dragon
Context triple: [Little Women (2022 TV series), developer, Studio Dragon]
  • A. Studio Dragon chosen
    Studio Dragon is a major South Korean drama production company known for creating numerous popular and high-quality television series for networks like tvN and platforms like Netflix.
  • B. Sundragon Studios
    Sundragon Studios is a recording studio known for hosting sessions by rock and alternative bands, including the creation of the album "Leave Home."
  • C. Studio Grangel
    Studio Grangel is a Japanese animation studio known for contributing a unique visual style to the anthology series Star Wars: Visions.
  • D. Typhoon Studios
    Typhoon Studios was a Canadian video game development company best known for creating the colorful sci-fi adventure game "Journey to the Savage Planet."
  • E. Tigon Studios
    Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dbdf248190a09e971f2718d01f completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.