Triple

T22176408
Position Surface form Disambiguated ID Type / Status
Subject Astonishing X-Men E548061 entity
Predicate featuresCharacter P626 FINISHED
Object Storm
Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather and her role as a prominent leader on the team.
 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: [Astonishing X-Men, featuresCharacter, Storm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Storm
Context triple: [Astonishing X-Men, featuresCharacter, Storm]
  • A. Storm
    "Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
  • 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 was a professional arena football team based in Tampa Bay, Florida, that competed in the Arena Football League.
  • D. 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.
  • E. Storm
    Storm is the athletic mascot representing Simpson College’s sports teams.
  • 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: [Astonishing X-Men, featuresCharacter, Storm]
Generated description
Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather and her role as a prominent leader on the team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Storm
Target entity description: Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather and her role as a prominent leader on the team.
  • 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 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.
  • E. Storm
    Storm is the athletic mascot representing Simpson College’s sports teams.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6c40988190ba52ea46079eb306 completed April 28, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ec8ab7c81908eaa85092ce658c1 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9f494f3c8190aee8f2e6dc1af763 completed May 18, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa03a8e0c819089dc48473b5b743c completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:34 p.m.