Triple

T34981893
Position Surface form Disambiguated ID Type / Status
Subject The Conjure-Man Dies E1008835 entity
Predicate settingDemographicFocus P50793 FINISHED
Object African American community 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: African American community | Statement: [The Conjure-Man Dies, settingDemographicFocus, African American community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingDemographicFocus
Context triple: [The Conjure-Man Dies, settingDemographicFocus, African American community]
  • A. shareDemographicFeature
    Indicates that two or more entities have at least one demographic characteristic in common (such as age group, gender, ethnicity, or similar attributes).
  • B. demographicsOfTopic
    Indicates the demographic characteristics or statistics that pertain to a given topic.
  • C. populationFocus chosen
    Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
  • D. demographicsIn
    Indicates that demographic information is associated with or applies within a specified geographic or organizational area.
  • E. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd3d46d1f48190a1b20dd063224b7d completed May 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69fd3ae1510c81908fe1280efc17feee completed May 8, 2026, 1:22 a.m.
Created at: May 3, 2026, 4:01 p.m.