Triple

T14239411
Position Surface form Disambiguated ID Type / Status
Subject State of Decay E352967 entity
Predicate featuresCharacter P626 FINISHED
Object K-9 Mark II E71121 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: K-9 Mark II | Statement: [State of Decay, featuresCharacter, K-9 Mark II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-9 Mark II
Context triple: [State of Decay, featuresCharacter, K-9 Mark II]
  • A. K9 Mark IV
    K9 Mark IV is a robotic dog companion from the Doctor Who universe, known for its advanced intelligence, loyalty, and futuristic technology.
  • B. K9 Vidar
    K9 Vidar is an upgraded variant of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced firepower, mobility, and modernized systems for improved battlefield performance.
  • C. K-9
    K-9 is a 1989 American buddy cop comedy film starring James Belushi as a detective partnered with a police dog to take down a drug dealer.
  • D. K-9 chosen
    K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
  • E. K9FIN Moukari
    K9FIN Moukari is a Finnish-modified version of the South Korean K9 Thunder self-propelled howitzer, tailored to meet Finland’s specific operational and environmental requirements.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1081148190b8830615a34711c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.