Triple

T21440536
Position Surface form Disambiguated ID Type / Status
Subject Street Survivors E528927 entity
Predicate featuresMusician P20942 FINISHED
Object Steve Gaines 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: Steve Gaines | Statement: [Street Survivors, featuresMusician, Steve Gaines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Gaines
Context triple: [Street Survivors, featuresMusician, Steve Gaines]
  • A. Steve Gaines chosen
    Steve Gaines was an American guitarist, singer, and songwriter best known for his work with the Southern rock band Lynyrd Skynyrd in the mid-1970s.
  • B. Steven Gaines
    Steven Gaines is an American author and journalist known for his biographies and works on popular culture, fashion, and New York society.
  • C. Steve Gainer
    Steve Gainer is an American cinematographer known for his work on feature films, television series, and music videos.
  • D. Ray Gaines
    Ray Gaines is the heroic Los Angeles Fire Department rescue pilot portrayed by Dwayne Johnson in the disaster film "San Andreas."
  • E. Greg Ganske
    Greg Ganske is an American plastic surgeon and Republican politician who represented Iowa in the U.S. House of Representatives from 1995 to 2003.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b70101208190a77bf5dd53dce37a completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.