Triple

T5452812
Position Surface form Disambiguated ID Type / Status
Subject Four Hundred Souls: A Community History of African America, 1619–2019 E122407 entity
Predicate authorCount P19415 FINISHED
Object multiple authors 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: multiple authors | Statement: [Four Hundred Souls: A Community History of African America, 1619–2019, authorCount, multiple authors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorCount
Context triple: [Four Hundred Souls: A Community History of African America, 1619–2019, authorCount, multiple authors]
  • A. numberOfAuthors chosen
    Indicates the count of distinct authors associated with a given work or entity.
  • B. authorMentionedBy
    Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
  • C. authors
    Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
  • D. authorRank
    Indicates the relative standing or position of an author within a ranked ordering, such as by contribution, importance, or prominence.
  • E. eligibleAuthors
    Indicates that certain authors meet the required conditions or criteria to qualify for a specified role, status, or action.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd95be329c81908783420cf81b6af5 completed March 20, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69bd919e8d18819098c4af6a015e5cc2 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.