Triple

T8115627
Position Surface form Disambiguated ID Type / Status
Subject Go West E189466 entity
Predicate hasMusicVideoDirector P4911 FINISHED
Object Howard Greenhalgh E205429 NE FINISHED

How this triple was built (2 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: Howard Greenhalgh | Statement: [Go West, hasMusicVideoDirector, Howard Greenhalgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Greenhalgh
Context triple: [Go West, hasMusicVideoDirector, Howard Greenhalgh]
  • A. Howard Greenhalgh chosen
    Howard Greenhalgh is a British music video director known for his visually distinctive and often surreal work for major rock and pop artists in the 1990s and beyond.
  • B. Christopher Greenbury
    Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
  • C. John Hollowood
    John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
  • D. Gordon Hales
    Gordon Hales was a film editor known for his work on major British and international productions, including Charlie Chaplin’s final film "A Countess from Hong Kong."
  • E. James Grenning
    James Grenning is a software engineer, author, and trainer known for his contributions to Agile development practices and embedded software engineering.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0218a3888190a0b224cf93a511de completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:33 p.m.