Triple

T10717251
Position Surface form Disambiguated ID Type / Status
Subject Ladytron E252708 entity
Predicate recordLabel P1500 FINISHED
Object Nettwerk E278923 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: Nettwerk | Statement: [Ladytron, recordLabel, Nettwerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nettwerk
Context triple: [Ladytron, recordLabel, Nettwerk]
  • A. Nettwerk chosen
    Nettwerk is a Canadian independent record label and management company known for working with a diverse roster of alternative, electronic, and world music artists.
  • B. Big Five studios
    Big Five studios refers to the group of major Hollywood film studios that dominated American cinema during the classical studio era, controlling production, distribution, and exhibition.
  • C. World Wide Productions
    World Wide Productions is a film production company known for its involvement in classic mid-20th-century cinema, including the romantic heist comedy "How to Steal a Million."
  • D. Lightstorm Entertainment
    Lightstorm Entertainment is a film production company founded by director James Cameron, known for producing major blockbuster movies such as Titanic and Avatar.
  • E. Arclight Films
    Arclight Films is an international film production and sales company known for financing and distributing independent and genre films worldwide.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3566e88190b5c0c6d1b159dd45 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d999278b8481909bc4e849b9580eb7 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.