Triple

T4472834
Position Surface form Disambiguated ID Type / Status
Subject Why I Love You E98534 entity
Predicate featuredArtist P997 FINISHED
Object Mr Hudson E38085 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: Mr Hudson | Statement: [Why I Love You, featuredArtist, Mr Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Hudson
Context triple: [Why I Love You, featuredArtist, Mr Hudson]
  • A. Mr Hudson chosen
    Mr Hudson is a British singer, songwriter, and producer known for his collaborations with artists like Kanye West and his blend of pop, R&B, and electronic influences.
  • B. Mr Hudson
    Mr Hudson is an author best known for writing the work titled "Paranoid."
  • C. William Murdoch
    William Murdoch was a Scottish engineer and inventor best known for pioneering gas lighting and contributing key innovations to early steam engine technology.
  • D. Edmund Happold
    Edmund Happold was a prominent British structural engineer renowned for his innovative, collaborative approach to building design and for co-founding the influential engineering consultancy Buro Happold.
  • E. John Hudson
    John Hudson is a distinguished geologist recognized for his significant contributions to the field, as evidenced by honors such as the William Smith Medal.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b95c888190a84bf4a9b2c60aa6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628764bf081909a7a1079d0176c66 completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.