Triple

T9394233
Position Surface form Disambiguated ID Type / Status
Subject Paul Child E226102 entity
Predicate familyName P18 FINISHED
Object Child E92861 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: Child | Statement: [Paul Child, familyName, Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Child
Context triple: [Paul Child, familyName, Child]
  • A. Child chosen
    Child is a common English surname borne by various notable individuals, including the famed American chef and television personality Julia Child.
  • B. Kids
    Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
  • C. Kids
    "Kids" is a psychedelic indie rock song by the American band MGMT, known for its catchy synth-driven melody and nostalgic lyrics about youth.
  • D. Kids
    "Kids" is a pop duet by Robbie Williams and Kylie Minogue, released in 2000 and known for its playful lyrics and energetic production.
  • E. Childhood
    "Childhood" is a semi-autobiographical coming-of-age novel by Leo Tolstoy that portrays the inner life, moral development, and early experiences of a young boy in a Russian aristocratic family.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1010ffcd4819088edafbdb43c2c00 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.