Triple

T12266261
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Young E292354 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: [Malcolm Young, familyName, Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young
Context triple: [Malcolm 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. Young
    "Young" is a pop-EDM single by The Chainsmokers, featured on their debut studio album "Memories...Do Not Open."
  • D. Youth
    "Youth" is a semi-autobiographical novel by Leo Tolstoy that continues the life story begun in "Childhood" and "Boyhood," exploring the moral and psychological development of a young man.
  • E. Youth
    Youth is the introspective, nameless young Black protagonist of the rock musical "Passing Strange," whose journey of self-discovery drives the show’s narrative.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63461cacc81909958fbd745e5d065 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.