Triple

T11307332
Position Surface form Disambiguated ID Type / Status
Subject Red Pill Blues E267749 entity
Predicate producer P490 FINISHED
Object Jesse Shatkin E291675 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: Jesse Shatkin | Statement: [Red Pill Blues, producer, Jesse Shatkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesse Shatkin
Context triple: [Red Pill Blues, producer, Jesse Shatkin]
  • A. Jesse Shatkin chosen
    Jesse Shatkin is a Grammy-nominated American record producer and songwriter known for his work with artists like Sia, Kelly Clarkson, and One Direction.
  • B. Jesse Landau
    Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
  • C. Luke Shapiro
    Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
  • D. Jody Gerson
    Jody Gerson is a prominent American music executive and producer, best known as the CEO and Chairman of Universal Music Publishing Group.
  • E. Jeremy Chatzky
    Jeremy Chatzky is an American bassist best known for his work with Bruce Springsteen’s Sessions Band and other rock and folk artists.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e72931208190b91ef4be770c00d4 completed April 21, 2026, 2:55 a.m.
Created at: April 8, 2026, 9:32 p.m.