Triple

T17955124
Position Surface form Disambiguated ID Type / Status
Subject Boyhood E448925 entity
Predicate hasSequel P1961 FINISHED
Object Youth NE NERFINISHED

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: [Boyhood, hasSequel, Youth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youth
Context triple: [Boyhood, hasSequel, Youth]
  • A. 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.
  • B. Youth
    Youth is a British rock band known for its energetic performances and collaborations with various artists.
  • C. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • D. 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.
  • E. Youth chosen
    "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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afaf1ddc8190b480147ac35a4912 completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.