Triple

T10622938
Position Surface form Disambiguated ID Type / Status
Subject Arthur Shelby E250249 entity
Predicate sellsTo P17063 FINISHED
Object Mr. Haley E250250 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: Mr. Haley | Statement: [Arthur Shelby, sellsTo, Mr. Haley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Haley
Context triple: [Arthur Shelby, sellsTo, Mr. Haley]
  • A. Mr. Haley chosen
    Mr. Haley is a coarse, profit-driven slave trader in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin."
  • B. Michael Haley
    Michael Haley is an American military officer and businessman best known as the husband of former South Carolina governor and U.N. ambassador Nikki Haley.
  • C. Taylor Dooley
    Taylor Dooley is an American actress best known for playing Lavagirl in the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D."
  • D. Leo Proudhammer
    Leo Proudhammer is the introspective African American actor and narrator at the center of James Baldwin’s novel "Tell Me How Long the Train’s Been Gone," through whom themes of race, sexuality, and artistic identity are explored.
  • E. Sam Hargrave
    Sam Hargrave is an American stunt coordinator, actor, and film director best known for directing the action film "Extraction" and for his extensive stunt work in major Hollywood productions, including the Marvel Cinematic Universe.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7e5074819096668b53dcc9167a completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a356e548190ab7a4a2c7111ba89 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 8:51 p.m.