Triple

T18975585
Position Surface form Disambiguated ID Type / Status
Subject The Brides of Dracula E464285 entity
Predicate musicBy P1952 FINISHED
Object Malcolm Williamson
Malcolm Williamson was an Australian-born composer who became Master of the Queen’s Music in the United Kingdom and was known for his film scores, operas, and religious works.
 E1360623 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: Malcolm Williamson | Statement: [The Brides of Dracula, musicBy, Malcolm Williamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malcolm Williamson
Context triple: [The Brides of Dracula, musicBy, Malcolm Williamson]
  • A. Malcolm Moss
    Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
  • B. Malcolm Wilson
    Malcolm Wilson was an American Republican politician who served as governor of New York in the early 1970s.
  • C. Malcolm Moore
    Malcolm Moore is a musician known for his performance work associated with the album "All the Lost Souls."
  • D. Malcolm Simpson
    Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
  • E. Malcolm Elliott
    Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
  • 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: Malcolm Williamson
Triple: [The Brides of Dracula, musicBy, Malcolm Williamson]
Generated description
Malcolm Williamson was an Australian-born composer who became Master of the Queen’s Music in the United Kingdom and was known for his film scores, operas, and religious works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malcolm Williamson
Target entity description: Malcolm Williamson was an Australian-born composer who became Master of the Queen’s Music in the United Kingdom and was known for his film scores, operas, and religious works.
  • A. Malcolm Moss
    Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
  • B. Malcolm Wilson
    Malcolm Wilson was an American Republican politician who served as governor of New York in the early 1970s.
  • C. Malcolm Moore
    Malcolm Moore is a musician known for his performance work associated with the album "All the Lost Souls."
  • D. Malcolm Simpson
    Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
  • E. Malcolm Elliott
    Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61e71988190817cada25672a1ce completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f23b6be481908636b5b48066364d completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f303c4fc8190a9a972dd1561bc84 completed May 15, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, noon