Triple

T976112
Position Surface form Disambiguated ID Type / Status
Subject Kerplunk E21055 entity
Predicate hasPart P35 FINISHED
Object Sweet Children E114509 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: Sweet Children | Statement: [Kerplunk, hasPart, Sweet Children]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Children
Context triple: [Kerplunk, hasPart, Sweet Children]
  • A. Sweet Children chosen
    Sweet Children was the original name of the American punk rock band Green Day during their early years in the late 1980s.
  • B. God Help the Child
    God Help the Child is a 2015 novel by Toni Morrison that explores themes of childhood trauma, colorism, and the lasting impact of abuse through the story of a dark-skinned woman named Bride.
  • C. Childish Bambino
    Childish Bambino is the popular nickname of MLB star outfielder Juan Soto, highlighting his youthful swagger and prodigious, Babe Ruth–like hitting ability.
  • D. Our Very Own
    "Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
  • E. Shine
    Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cdbd22c819084346de7e729c8a1 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.