Triple

T18234838
Position Surface form Disambiguated ID Type / Status
Subject William Weatherford E436644 entity
Predicate ethnicity P194 FINISHED
Object Creek 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: Creek | Statement: [William Weatherford, ethnicity, Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creek
Context triple: [William Weatherford, ethnicity, Creek]
  • A. Creek chosen
    The Creek are a Native American people of the Southeastern Woodlands, historically known for their complex chiefdoms, agricultural villages, and later involvement in the Creek Wars and forced removal along the Trail of Tears.
  • B. Can Creek
    Can Creek is a small spring-fed stream running through Lost Maples State Natural Area in Texas, known for its clear water and scenic Hill Country surroundings.
  • C. Evolution Creek
    Evolution Creek is a mountain stream in California’s Sierra Nevada that flows through Evolution Valley and contributes to the region’s rugged alpine watershed.
  • D. Leading Creek
    Leading Creek is a smaller stream in West Virginia that feeds into the Tygart Valley River within the Monongahela River watershed.
  • E. Cross Creek
    Cross Creek is a 1983 biographical drama film about author Marjorie Kinnan Rawlings’s life in rural Florida, adapted from her memoir of the same name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b5ce608190b6fba518256607da completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.