Triple

T29098945
Position Surface form Disambiguated ID Type / Status
Subject Black E735088 entity
Predicate hasRelatedIdentity P108480 FINISHED
Object African American NE NERFINISHED

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 | Statement: [Black, hasRelatedIdentity, African American]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelatedIdentity
Context triple: [Black, hasRelatedIdentity, African American]
  • A. hasIdentity
    Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
  • B. relatedIdentity chosen
    Indicates that two identities are connected or associated with each other in some meaningful way, such as being alternate, linked, or otherwise contextually related.
  • C. hasRelation
    Indicates that there exists some specified relationship or association between two entities.
  • D. hasIdentityStatus
    Indicates that an entity is associated with a particular identity-related state or condition (such as confirmed, provisional, or unknown).
  • E. hasRelationships
    Indicates that an entity is connected to one or more other entities through specified types of relationships.
  • 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_69f05b0ed66481908f2e864fa550d2f1 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69ffb5c373948190a6606e8caa87a384 completed May 9, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69ffb261da788190b41399df8ed895e8 completed May 9, 2026, 10:17 p.m.
Created at: April 28, 2026, 11:10 a.m.