Triple

T4901561
Position Surface form Disambiguated ID Type / Status
Subject Michael Adams E109808 entity
Predicate namePopularity P22212 FINISHED
Object considered relatively common in English-speaking countries 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: considered relatively common in English-speaking countries | Statement: [Michael Adams, namePopularity, considered relatively common in English-speaking countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namePopularity
Context triple: [Michael Adams, namePopularity, considered relatively common in English-speaking countries]
  • A. namePopularityType
    Indicates the category or type of popularity associated with a given name (e.g., how or in what way the name is considered popular).
  • B. wasTopGivenNameInCountry
    Indicates that a given name held the highest popularity rank among all given names within a specified country for a particular time period.
  • C. peakPopularity
    Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
  • D. frequencyRankInUnitedStates
    Indicates the relative position of something in an ordered list based on how frequently it occurs within the United States.
  • E. popularName chosen
    Indicates that the object is a commonly used or widely recognized name or nickname for the subject.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c306b188190a08a7856beb76db4 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:28 p.m.