Triple

T10246249
Position Surface form Disambiguated ID Type / Status
Subject The Kids Are Alright E240219 entity
Predicate hasPart P35 FINISHED
Object Grown E240227 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: Grown | Statement: [The Kids Are Alright, hasPart, Grown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grown
Context triple: [The Kids Are Alright, hasPart, Grown]
  • A. Grown chosen
    "Grown" is a song by the R&B duo Chloe x Halle that showcases their mature sound and harmonies, gaining attention for its confident lyrics and polished production.
  • B. Growing
    "Growing" is an autobiographical work by Leonard Woolf recounting his years as a colonial administrator in Ceylon and his political and personal development during that period.
  • C. Growing
    "Growing" is an episode of the BBC nature documentary series *The Private Life of Plants* that explores how plants develop and increase in size over time.
  • D. Grown Folks
    "Grown Folks" is a song by Ray Ray, likely centered on mature themes of adult relationships and experiences.
  • E. Adulthood
    Adulthood is a 2008 British urban crime drama film written and directed by Noel Clarke, serving as the sequel to Kidulthood and following the consequences of youth violence and redemption in West London.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.