Triple

T18738266
Position Surface form Disambiguated ID Type / Status
Subject Amber Atkins E458222 entity
Predicate pageantTitle P72817 FINISHED
Object Mount Rose American Teen Princess winner LITERAL 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: Mount Rose American Teen Princess winner | Statement: [Amber Atkins, pageantTitle, Mount Rose American Teen Princess winner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pageantTitle
Context triple: [Amber Atkins, pageantTitle, Mount Rose American Teen Princess winner]
  • A. titleHeldIn
    Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
  • B. balletTitle
    Indicates that the subject has the specified title as the name of a ballet.
  • C. competitionTitle chosen
    Indicates the official name or title assigned to a specific competition or contest.
  • D. titleHeldAs
    Indicates that an entity holds or possesses a specific title in a particular capacity or role.
  • E. titleHolderMother
    Indicates that the subject is the mother of the current or specified holder of a particular title.
  • F. None of above.

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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:51 a.m.