Triple

T16689863
Position Surface form Disambiguated ID Type / Status
Subject The Blueprint 3 E405565 entity
Predicate featuresArtist P1952 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: [The Blueprint 3, featuresArtist, Mr Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Hudson
Context triple: [The Blueprint 3, featuresArtist, 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. Mr. Brittain
    Mr. Brittain is the stern, emotionally reserved father of Vera Brittain in "Testament of Youth," representing traditional Edwardian middle-class values and expectations.
  • D. 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.
  • E. William Murdoch
    William Murdoch is a brilliant, forward-thinking detective in turn-of-the-20th-century Toronto who uses innovative forensic techniques to solve crimes in the television series "Murdoch Mysteries."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea8cabc8190ba321503399960da completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091966fbc81908cd1db230ddbb82b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.