Triple

T19365321
Position Surface form Disambiguated ID Type / Status
Subject Simply Deep E484384 entity
Predicate producer P490 FINISHED
Object Mark J. Feist 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: Mark J. Feist | Statement: [Simply Deep, producer, Mark J. Feist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark J. Feist
Context triple: [Simply Deep, producer, Mark J. Feist]
  • A. Mark J. Feist chosen
    Mark J. Feist is a music producer and songwriter known for his work with prominent pop and R&B artists.
  • B. Jerry Harrison
    Jerry Harrison is an American musician, songwriter, and producer best known as the keyboardist and guitarist for the influential new wave band Talking Heads.
  • C. John C. Wright
    John C. Wright is an American science fiction and fantasy author known for his intricate world-building, philosophical themes, and works such as the "Golden Age" trilogy.
  • D. Michael Forsyth
    Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
  • E. Tharon Musser
    Tharon Musser was a pioneering American lighting designer renowned for revolutionizing Broadway lighting with her innovative use of computerized systems on landmark productions.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.