Triple

T628199
Position Surface form Disambiguated ID Type / Status
Subject Harold Stephen Black E15865 entity
Predicate familyName P18 FINISHED
Object Black E5209 NE 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: Black | Statement: [Harold Stephen Black, familyName, Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black
Context triple: [Harold Stephen Black, familyName, Black]
  • A. Black
    Black is a nominative report series of early United States Supreme Court decisions compiled and published under the name of the court reporter Black.
  • B. Black chosen
    Black is a common English-language surname borne by numerous notable individuals across diverse fields.
  • C. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • D. Black-and-Red
    Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
  • E. Black is beautiful
    "Black is beautiful" is a cultural and political slogan affirming the inherent beauty, dignity, and worth of Black people, closely associated with the Black Arts Movement and broader Black pride movements of the 1960s and 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56938be6481909a8eba01f5d856c1 completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.