Triple

T8115985
Position Surface form Disambiguated ID Type / Status
Subject Love etc. E189474 entity
Predicate producer P490 FINISHED
Object Brian Higgins E712991 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: Brian Higgins | Statement: [Love etc., producer, Brian Higgins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Higgins
Context triple: [Love etc., producer, Brian Higgins]
  • A. Brian Higgins chosen
    Brian Higgins is a British songwriter and producer best known as the founder of the pop production team Xenomania, which has crafted numerous hits for artists like Girls Aloud and Sugababes.
  • B. Keir O’Donnell
    Keir O’Donnell is an Australian-born American actor known for his character roles in films such as "Wedding Crashers" and various television series.
  • C. Redmond Barry
    Redmond Barry was a prominent 19th-century Irish-born Australian judge and public figure known for his significant contributions to Victoria’s legal and cultural institutions.
  • D. Jimmy Lyons
    Jimmy Lyons was an American jazz disc jockey and concert promoter best known for creating and shaping the influential Monterey Jazz Festival.
  • E. Patrick Fagan
    Patrick Fagan is a British behavioral scientist and consultant known for applying psychological insights to marketing, political campaigning, and public communication.
  • 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_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbea5d39c819099d52545410ae564 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:33 p.m.