Triple

T6335396
Position Surface form Disambiguated ID Type / Status
Subject Again E142477 entity
Predicate musicVideoDirector P4911 FINISHED
Object George Vale
George Vale is a music video director known for creating visually distinctive videos for various recording artists.
E586018 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: George Vale | Statement: [Again, musicVideoDirector, George Vale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Vale
Context triple: [Again, musicVideoDirector, George Vale]
  • A. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • B. John Worsfold
    John Worsfold is a former Australian rules footballer and premiership-winning coach best known for leading the West Coast Eagles in the AFL.
  • C. Godfrey Hewitt
    Godfrey Hewitt was a prominent British evolutionary geneticist known for his influential work on speciation, hybrid zones, and the genetic consequences of glaciation in animals.
  • D. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • E. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • 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: George Vale
Triple: [Again, musicVideoDirector, George Vale]
Generated description
George Vale is a music video director known for creating visually distinctive videos for various recording artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George Vale
Target entity description: George Vale is a music video director known for creating visually distinctive videos for various recording artists.
  • A. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • B. John Worsfold
    John Worsfold is a former Australian rules footballer and premiership-winning coach best known for leading the West Coast Eagles in the AFL.
  • C. Godfrey Hewitt
    Godfrey Hewitt was a prominent British evolutionary geneticist known for his influential work on speciation, hybrid zones, and the genetic consequences of glaciation in animals.
  • D. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • E. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6042ab22c8190a7486049f45a546b completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:30 p.m.