Triple

T4972571
Position Surface form Disambiguated ID Type / Status
Subject Henry Atkinson E111688 entity
Predicate opponent P437 FINISHED
Object Black Hawk E6193 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 Hawk | Statement: [Henry Atkinson, opponent, Black Hawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Hawk
Context triple: [Henry Atkinson, opponent, Black Hawk]
  • A. Black Hawk chosen
    Black Hawk was a prominent Sauk leader who resisted United States expansion into Native American lands during the early 19th century.
  • B. Osceola
    Osceola was a prominent Seminole leader in the 19th century who became a symbol of Native American resistance to U.S. removal policies during the Second Seminole War.
  • C. Tecumseh
    Tecumseh was a prominent Shawnee leader who forged a large Native American confederacy and allied with the British in resisting U.S. expansion during the early 19th century.
  • D. Sitting Bull
    Sitting Bull was a renowned Hunkpapa Lakota leader and holy man best known for uniting Plains tribes in resistance to U.S. expansion and for his role in the 1876 Battle of the Little Bighorn.
  • E. Crazy Horse
    Crazy Horse is a famous Parisian cabaret known for its avant-garde, artistically choreographed nude performances and distinctive use of lighting and staging.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7214e18c81909db1c838a4cce78d completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81fa9108819089a6258e3a88f0cb completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:33 p.m.