Triple

T5192971
Position Surface form Disambiguated ID Type / Status
Subject Lester Young E117200 entity
Predicate familyName P18 FINISHED
Object Young E117890 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: Young | Statement: [Lester Young, familyName, Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young
Context triple: [Lester Young, familyName, Young]
  • A. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • B. Young chosen
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • C. Youth
    Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
  • D. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • E. Youth
    "Youth" is a melancholic, synth-driven indie pop song by British band Glass Animals that reflects on nostalgia, loss, and the fragility of childhood.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79efd16c8190b0b16278a00baecd completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0943ce48190838aff0cfd12c655 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.