Triple

T5186961
Position Surface form Disambiguated ID Type / Status
Subject Black Panther (Marvel Comics series) E117054 entity
Predicate featuresCharacter P626 FINISHED
Object Storm E119392 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: Storm | Statement: [Black Panther (Marvel Comics series), featuresCharacter, Storm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storm
Context triple: [Black Panther (Marvel Comics series), featuresCharacter, Storm]
  • A. Storm chosen
    Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
  • B. Storm
    Storm is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
  • C. Storm
    Storm is the middle name of Benjamin Keough, the late grandson of Elvis Presley and son of Lisa Marie Presley.
  • D. Cyclone
    Cyclone is the nickname of early 20th-century Canadian ice hockey legend Cyclone Taylor, renowned as one of the sport’s first great rushing defensemen.
  • E. Cyclone
    Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c3e9e08190848be4208b72f310 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08807748190ae8f34a6e8875c15 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.