Triple

T594183
Position Surface form Disambiguated ID Type / Status
Subject 1919 Black Sox Scandal E17341 entity
Predicate inPopularCulture P16088 FINISHED
Object depicted in the book and film "Eight Men Out" 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: depicted in the book and film "Eight Men Out" | Statement: [1919 Black Sox Scandal, inPopularCulture, depicted in the book and film "Eight Men Out"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inPopularCulture
Context triple: [1919 Black Sox Scandal, inPopularCulture, depicted in the book and film "Eight Men Out"]
  • A. popularity
    Indicates how widely liked, admired, or favored something or someone is by a group of people.
  • B. notableCultImage
    Indicates that an entity is associated with a significant or historically important religious or cultic image.
  • C. popularizedIn
    Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
  • D. culturalSphere
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • E. popularFilmIndustry
    Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
  • F. None of above. chosen

Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd15c5881909b59ed4c88687e7b completed March 1, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69a494cd7d3c8190af008acf34a2293b completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985ada988190aaea628a9b55bca4 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.