Triple

T20697186
Position Surface form Disambiguated ID Type / Status
Subject Giant-Size X-Men #1 E508687 entity
Predicate featuresCharacter P626 FINISHED
Object Storm
Storm is a powerful Marvel Comics superheroine and longtime member of the X-Men, known for her ability to control the weather and her role as one of the first major Black female superheroes in mainstream comics.
 E119392 NE FINISHED

How this triple was built (4 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: [Giant-Size X-Men #1, featuresCharacter, Storm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Storm
Context triple: [Giant-Size X-Men #1, featuresCharacter, Storm]
  • A. Storm
    Storm is a 2009 European drama film starring Anamaria Marinca that follows a war crimes trial at the International Criminal Tribunal in The Hague.
  • B. Storm
    Storm is the athletic mascot representing Simpson College’s sports teams.
  • C. Storm
    Storm is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
  • D. Storm
    "Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
  • E. Storm
    Storm is the short name of the Guelph Storm, a major junior ice hockey team in the Ontario Hockey League based in Guelph, Ontario, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Storm
Triple: [Giant-Size X-Men #1, featuresCharacter, Storm]
Generated description
Storm is a powerful Marvel Comics superheroine and longtime member of the X-Men, known for her ability to control the weather and her role as one of the first major Black female superheroes in mainstream comics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Storm
Target entity description: Storm is a powerful Marvel Comics superheroine and longtime member of the X-Men, known for her ability to control the weather and her role as one of the first major Black female superheroes in mainstream comics.
  • 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 common surname shared by various real and fictional individuals, notably including members of the superhero team the Fantastic Four.
  • C. Storm
    Storm is the first name of American actress Storm Reid, known for her roles in films like "A Wrinkle in Time" and the series "Euphoria."
  • D. Storm
    Storm is the athletic mascot representing Simpson College’s sports teams.
  • E. Storm
    Storm is a character or component associated with the group or work titled "Who We Are," likely contributing a dynamic or intense element to its narrative or structure.
  • F. None of above.

Provenance (5 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c1123d7c81908a1d16923437266d completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8a92ec48190ba4d373af6e1e348 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9deb9248190af178b5c28728e00 completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa80202c8190929f8f1b47d6fae4 completed May 16, 2026, 11:15 p.m.
Created at: April 16, 2026, 12:11 p.m.