Triple

T4869378
Position Surface form Disambiguated ID Type / Status
Subject Hard Promises E109047 entity
Predicate producer P490 FINISHED
Object Shelly Yakus E494840 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: Shelly Yakus | Statement: [Hard Promises, producer, Shelly Yakus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelly Yakus
Context triple: [Hard Promises, producer, Shelly Yakus]
  • A. Shelly Yakus chosen
    Shelly Yakus is a renowned American recording engineer and producer known for his work on numerous classic rock albums and collaborations with major artists.
  • B. Shelly Peiken
    Shelly Peiken is an American songwriter best known for penning numerous pop and R&B hits for major artists in the 1990s and 2000s.
  • C. Glena Goranson
    Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
  • D. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • E. Janine Melnitz
    Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9aec60819090f485757038c2a8 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfa0b4fc8190bf9ee8abf1684503 completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:27 p.m.