Triple

T16374801
Position Surface form Disambiguated ID Type / Status
Subject Light as a Feather E397652 entity
Predicate hasMusician P20942 FINISHED
Object Joe Farrell E852392 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: Joe Farrell | Statement: [Light as a Feather, hasMusician, Joe Farrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Farrell
Context triple: [Light as a Feather, hasMusician, Joe Farrell]
  • A. Joe Farrell chosen
    Joe Farrell was an American jazz saxophonist and flutist known for his work in the 1960s and 1970s, including influential recordings as a leader and as a sideman with artists like Chick Corea and Elvin Jones.
  • B. Joe Farrell
    Joe Farrell is a television producer best known for his executive production work on the comedy series "Brockmire."
  • C. Roy Farrell
    Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-20th century.
  • D. Leo Farley
    Leo Farley is a central character in the crime drama series "Under Suspicion," involved in the show's intricate investigations and moral ambiguities.
  • E. Glenn Farr
    Glenn Farr was an American film editor best known for his Academy Award–winning work on the 1983 film "Terms of Endearment."
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003561f83481909223c99bb83ebdf4 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.