Triple

T8544402
Position Surface form Disambiguated ID Type / Status
Subject Dream Theater E202282 entity
Predicate associatedAct P37 FINISHED
Object Haken
Haken is a British progressive metal band known for its complex compositions, technical musicianship, and stylistic similarities to acts like Dream Theater.
 E740799 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: Haken | Statement: [Dream Theater, associatedAct, Haken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haken
Context triple: [Dream Theater, associatedAct, Haken]
  • A. Haak
    Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
  • B. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • C. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • D. Hawzen
    Hawzen is a town in northern Ethiopia’s Tigray Region, known for its nearby rock-hewn churches and its role in the region’s modern conflicts.
  • E. Hareid
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • 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: Haken
Triple: [Dream Theater, associatedAct, Haken]
Generated description
Haken is a British progressive metal band known for its complex compositions, technical musicianship, and stylistic similarities to acts like Dream Theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haken
Target entity description: Haken is a British progressive metal band known for its complex compositions, technical musicianship, and stylistic similarities to acts like Dream Theater.
  • A. Haak
    Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
  • B. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • C. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • D. Hawzen
    Hawzen is a town in northern Ethiopia’s Tigray Region, known for its nearby rock-hewn churches and its role in the region’s modern conflicts.
  • E. Hareid
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e4e21c8190afcbca73713a5fa8 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dabf9908190bb61ad4ddb953902 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6f02fabc819093b95e0d318c5649 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f9b12148190be55b3f5f2b518d9 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:18 p.m.