Triple

T12232262
Position Surface form Disambiguated ID Type / Status
Subject Masters of Evil E291501 entity
Predicate notableMember P10 FINISHED
Object Melter
Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
 E970753 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: Melter | Statement: [Masters of Evil, notableMember, Melter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melter
Context triple: [Masters of Evil, notableMember, Melter]
  • A. Molten
    Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
  • B. Thermon
    Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
  • C. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • D. Melted Stone
    Melted Stone is a record label associated with Adele, under which her music, including the single "I Drink Wine," has been released.
  • E. Arcalod
    Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
  • 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: Melter
Triple: [Masters of Evil, notableMember, Melter]
Generated description
Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melter
Target entity description: Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
  • A. Molten
    Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
  • B. Thermon
    Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
  • C. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • D. Melted Stone
    Melted Stone is a record label associated with Adele, under which her music, including the single "I Drink Wine," has been released.
  • E. Arcalod
    Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
  • F. None of above. chosen

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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bdd8d508190813178ff4c77afcf completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c67c680819087630d190d0a008f completed May 2, 2026, 2:38 p.m.
Created at: April 8, 2026, 9:51 p.m.