Triple

T11307732
Position Surface form Disambiguated ID Type / Status
Subject Sugar E267757 entity
Predicate writer P1360 FINISHED
Object Henry Walter
Henry Walter is a British songwriter and record producer, better known by his stage name Cirkut, who has worked on numerous chart-topping pop hits.
 E731806 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: Henry Walter | Statement: [Sugar, writer, Henry Walter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Walter
Context triple: [Sugar, writer, Henry Walter]
  • A. Henry Walter
    Henry Walter, better known by his stage name Cirkut, is a Canadian record producer and songwriter recognized for crafting numerous global pop and dance hits.
  • B. Henry Walter
    Henry Walter was a 19th-century American architect best known for designing the Ohio Statehouse in Columbus.
  • C. George Philip Wells
    George Philip Wells was a British zoologist and author, known both for his scientific work and as the son of writer H. G. Wells.
  • D. Henry Martyn
    Henry Martyn was an early 19th-century Anglican missionary and Bible translator known for his pioneering evangelistic work in India and Persia.
  • E. George Wells
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals 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: Henry Walter
Triple: [Sugar, writer, Henry Walter]
Generated description
Henry Walter is a British songwriter and record producer, better known by his stage name Cirkut, who has worked on numerous chart-topping pop hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henry Walter
Target entity description: Henry Walter is a British songwriter and record producer, better known by his stage name Cirkut, who has worked on numerous chart-topping pop hits.
  • A. Henry Walter chosen
    Henry Walter, better known by his stage name Cirkut, is a Canadian record producer and songwriter recognized for crafting numerous global pop and dance hits.
  • B. Henry Walter
    Henry Walter was a 19th-century American architect best known for designing the Ohio Statehouse in Columbus.
  • C. George Philip Wells
    George Philip Wells was a British zoologist and author, known both for his scientific work and as the son of writer H. G. Wells.
  • D. Henry Martyn
    Henry Martyn was an early 19th-century Anglican missionary and Bible translator known for his pioneering evangelistic work in India and Persia.
  • E. George Wells
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a62ceec8190af25edf44c5fc1e9 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.