Triple

T3875491
Position Surface form Disambiguated ID Type / Status
Subject Beebe E92490 entity
Predicate hasNotableBearer P458 FINISHED
Object Ford Beebe E14738 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: Ford Beebe | Statement: [Beebe, hasNotableBearer, Ford Beebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Beebe
Context triple: [Beebe, hasNotableBearer, Ford Beebe]
  • A. Ford Beebe chosen
    Ford Beebe was an American film director and screenwriter best known for his prolific work on low-budget serials and B-movies during the early to mid-20th century.
  • B. John Gardner Ford
    John Gardner Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford, known as a member of the Ford family.
  • C. Steven Meigs Ford
    Steven Meigs Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford.
  • D. Horace Elgin Dodge
    Horace Elgin Dodge was an American automobile pioneer and co-founder of the Dodge Brothers Company, a major early 20th-century car and parts manufacturer.
  • E. George Arnold
    George Arnold was the son of American Revolutionary War figure Benedict Arnold and his second wife, Peggy Shippen.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124f095881909143b624128ff569 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.