Triple

T10394426
Position Surface form Disambiguated ID Type / Status
Subject Four Shades of Brown E244973 entity
Predicate screenwriter P2831 FINISHED
Object Killinggänget E859487 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: Killinggänget | Statement: [Four Shades of Brown, screenwriter, Killinggänget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killinggänget
Context triple: [Four Shades of Brown, screenwriter, Killinggänget]
  • A. Killinggänget chosen
    Killinggänget is a Swedish comedy group known for its influential TV shows and films that blend dark humor with social satire.
  • B. The Massacre
    The Massacre is a 2005 hip hop album by 50 Cent that features hit singles like "Candy Shop" and "Just a Lil Bit" and solidified his mainstream commercial success.
  • C. The Killer
    The Killer is a 1989 Hong Kong action film renowned for its stylized gunplay, emotional depth, and influential blend of heroic bloodshed and crime drama.
  • D. The Killer
    The Killer is the famous nickname of rock and roll pioneer Jerry Lee Lewis, known for his wild piano performances and energetic stage presence.
  • E. Indian Killer
    Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b795fc8190aa50ce3c7360ff83 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbbad25081908712601404734988 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:06 p.m.