Triple

T10918675
Position Surface form Disambiguated ID Type / Status
Subject The Haxan Cloak E257889 entity
Predicate hasCollaboration P10645 FINISHED
Object Regis
Regis is an electronic music producer and DJ known for his influential work in the techno and experimental music scenes.
 E893798 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: Regis | Statement: [The Haxan Cloak, hasCollaboration, Regis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Regis
Context triple: [The Haxan Cloak, hasCollaboration, Regis]
  • A. Regis
    Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
  • B. Kogod
    Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
  • C. La Salle
    La Salle is a small alpine municipality in Italy’s Aosta Valley, known for its scenic mountain landscapes and proximity to Mont Blanc.
  • D. La Salle
    La Salle was the former name of the French industrial town now known as Decazeville, historically associated with coal mining in the Aveyron department.
  • E. Creighton Hale
    Creighton Hale was an Irish-born American silent film actor known for his boyish looks and roles in early 20th-century dramas and comedies.
  • 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: Regis
Triple: [The Haxan Cloak, hasCollaboration, Regis]
Generated description
Regis is an electronic music producer and DJ known for his influential work in the techno and experimental music scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Regis
Target entity description: Regis is an electronic music producer and DJ known for his influential work in the techno and experimental music scenes.
  • A. Regis
    Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
  • B. Kogod
    Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
  • C. La Salle
    La Salle was the former name of the French industrial town now known as Decazeville, historically associated with coal mining in the Aveyron department.
  • D. La Salle
    La Salle is a small alpine municipality in Italy’s Aosta Valley, known for its scenic mountain landscapes and proximity to Mont Blanc.
  • E. Creighton Hale
    Creighton Hale was an Irish-born American silent film actor known for his boyish looks and roles in early 20th-century dramas and comedies.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2170bb97c81908e8d209ddb630601 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.