Triple

T3668342
Position Surface form Disambiguated ID Type / Status
Subject Catherine Burks-Brooks E77816 entity
Predicate familyName P18 FINISHED
Object Brooks E221862 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: Brooks | Statement: [Catherine Burks-Brooks, familyName, Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooks
Context triple: [Catherine Burks-Brooks, familyName, Brooks]
  • A. Brooks chosen
    Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • B. Burks-Brooks
    Burks-Brooks is the hyphenated surname of civil rights activist Catherine Burks-Brooks, known for her role in the Freedom Rides during the U.S. Civil Rights Movement.
  • C. Burks
    Burks is the surname of Catherine Burks-Brooks, a noted American civil rights activist and Freedom Rider.
  • D. Brock
    Brock is a surname most notably associated with figures such as Isaac Brock, a British Army officer and colonial administrator famed for his leadership in the War of 1812.
  • E. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42997d88190bc765559bd7645fc completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39bb9b48190ba34226ccfccd59e completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.