Triple

T9681449
Position Surface form Disambiguated ID Type / Status
Subject Surfacing E234290 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: [Surfacing, recordLabel, Nettwerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nettwerk
Context triple: [Surfacing, 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc3b3d1c819092210b334da3e0d3 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:16 p.m.