Triple

T18660976
Position Surface form Disambiguated ID Type / Status
Subject Ronald Neame E456192 entity
Predicate directed P7373 FINISHED
Object Meteor NE NERFINISHED

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: Meteor | Statement: [Ronald Neame, directed, Meteor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meteor
Context triple: [Ronald Neame, directed, Meteor]
  • A. Meteor
    The Meteor was a prominent named passenger train that provided streamlined service on the St. Louis–San Francisco Railway (Frisco) in the mid-20th century.
  • B. Meteor chosen
    Meteor is a beyond-visual-range air-to-air missile known for its ramjet propulsion and long-range, high-speed engagement capabilities against airborne targets.
  • C. Meteor
    "Meteor" is a science fiction novel by Czech writer Karel Čapek that explores human nature and society through the mysterious consequences of a cosmic event.
  • D. Meteor Records
    Meteor Records was a mid-20th-century American record label known for releasing early rhythm and blues and rockabilly recordings.
  • E. Mongo
    Mongo is the first child of Claireece "Precious" Jones in the novel and film "Precious," born with severe disabilities as a result of incestuous abuse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508a30248190abdb51e345168849 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.