Triple

T16100026
Position Surface form Disambiguated ID Type / Status
Subject Willard Ford E390590 entity
Predicate name P16 FINISHED
Object Willard Ford E390590 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: Willard Ford | Statement: [Willard Ford, name, Willard Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willard Ford
Context triple: [Willard Ford, name, Willard Ford]
  • A. Willard Ford chosen
    Willard Ford is an American entrepreneur and the son of actor Harrison Ford, known for his work in the Los Angeles business and design community.
  • B. William D. Ford
    William D. Ford was a long-serving U.S. Congressman from Michigan known for his work on education, labor rights, and student financial aid legislation.
  • C. Wendell H. Ford
    Wendell H. Ford was a Democratic politician from Kentucky who served as both governor of the state and a long-serving U.S. senator.
  • D. John A. Wood
    John A. Wood was a 19th-century American architect best known for his ornate Moorish Revival and Victorian hotel designs, including several grand resorts in the southeastern United States.
  • E. Steve Hoover
    Steve Hoover is an American filmmaker and music video director known for his visually striking work on videos for artists such as Fireflies and his award-winning documentary projects.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9d6140819087f9b3dc549c4aec completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.