Triple

T15259120
Position Surface form Disambiguated ID Type / Status
Subject Natural History E364725 entity
Predicate hasTrack P3284 FINISHED
Object Youth E810591 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: Youth | Statement: [Natural History, hasTrack, Youth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youth
Context triple: [Natural History, hasTrack, Youth]
  • A. 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.
  • B. 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.
  • C. Youth chosen
    Youth is the period of life between childhood and adulthood, often associated with physical vitality, personal development, and the formation of identity.
  • 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 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.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.