Triple

T18476100
Position Surface form Disambiguated ID Type / Status
Subject Greg Mathieson E451435 entity
Predicate notableWork P4 FINISHED
Object Greg Mathieson Project NE NERFINISHED

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: Greg Mathieson Project | Statement: [Greg Mathieson, notableWork, Greg Mathieson Project]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Mathieson Project
Context triple: [Greg Mathieson, notableWork, Greg Mathieson Project]
  • A. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • B. Greg Mathieson chosen
    Greg Mathieson is an American keyboardist, composer, and producer known for his work in jazz, fusion, and pop music, collaborating with numerous prominent artists.
  • C. Mathis
    Mathis is a supporting character in Ian Fleming's James Bond series, notably appearing as an ally in the novel "Casino Royale."
  • D. Mathews
    Mathews is a surname of English and Welsh origin, commonly borne by individuals in English-speaking countries.
  • E. Jacob Matham
    Jacob Matham was a Dutch Golden Age engraver and draftsman known for his detailed reproductive prints and for continuing the artistic legacy of his stepfather and teacher, Hendrick Goltzius.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062f67881909620c4e8fc00eb7d completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.