Triple

T3893802
Position Surface form Disambiguated ID Type / Status
Subject The Phantom Creeps E88122 entity
Predicate director P255 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: [The Phantom Creeps, director, Ford Beebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Beebe
Context triple: [The Phantom Creeps, director, 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd06cbc8190938d9f91388ad290 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c96ff648190b03807547930d51d completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.