Triple

T11172178
Position Surface form Disambiguated ID Type / Status
Subject The Wolverine E264300 entity
Predicate featuresCharacter P626 FINISHED
Object Viper E708893 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: Viper | Statement: [The Wolverine, featuresCharacter, Viper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viper
Context triple: [The Wolverine, featuresCharacter, Viper]
  • A. Viper
    Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
  • B. Viper
    Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
  • C. Viper chosen
    Viper is a graceful and skilled green snake kung fu master from the Kung Fu Panda film series, known for her agility, kindness, and combat prowess as a member of the Furious Five.
  • D. Cobra
    Cobra is the internal codename for IBM and Motorola's first-generation PowerPC 601 microprocessor, used in early PowerPC-based systems in the mid-1990s.
  • E. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.