Triple

T7131977
Position Surface form Disambiguated ID Type / Status
Subject Michael Young E166210 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: [Michael Young, familyName, Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young
Context triple: [Michael 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66f15b88190bc1fb0f0a8af16a6 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a341ede88190b43f26f1dad7bf70 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.