Triple

T17185448
Position Surface form Disambiguated ID Type / Status
Subject From the Muddy Banks of the Wishkah E417094 entity
Predicate producer P490 FINISHED
Object Scott Litt NE ONNED1

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: Scott Litt | Statement: [From the Muddy Banks of the Wishkah, producer, Scott Litt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Litt
Context triple: [From the Muddy Banks of the Wishkah, producer, Scott Litt]
  • A. Scott Litt chosen
    Scott Litt is an American record producer and engineer best known for his influential work with alternative rock bands such as R.E.M. and Nirvana.
  • B. Josh Rouse
    Josh Rouse is an American singer-songwriter known for his melodic, folk-influenced indie pop and introspective lyrics.
  • C. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • D. Peter Holsapple
    Peter Holsapple is an American musician and songwriter best known as a founding member of the dB's and a frequent collaborator and touring member with various alternative rock bands.
  • E. Adam Storke
    Adam Storke is an American actor best known for his roles in film and television, including his prominent appearance in the miniseries adaptation of Stephen King’s "The Stand."
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d962b988190bdbba81ac63c7e6e completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195443f54819098130cf593eb56cb in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:37 a.m.