Triple

T23018064
Position Surface form Disambiguated ID Type / Status
Subject Pursuit to Algiers E573085 entity
Predicate featuresActor P15562 FINISHED
Object John Abbott — 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: John Abbott | Statement: [Pursuit to Algiers, featuresActor, John Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Abbott
Context triple: [Pursuit to Algiers, featuresActor, John Abbott]
  • A. John Abbott
    John Abbott was a Canadian lawyer and politician who served briefly as the third Prime Minister of Canada in the late 19th century.
  • B. John Abbott
    John Abbott is a pseudonym used by American author and screenwriter Evan Hunter, best known for his crime fiction and the "87th Precinct" series.
  • C. John Abbott chosen
    John Abbott was a British character actor known for his numerous supporting roles in mid-20th-century films and television.
  • D. Sir Charles Tupper
    Sir Charles Tupper was a Canadian Father of Confederation and the sixth Prime Minister of Canada, known for his role in bringing Nova Scotia into Confederation and his long political career.
  • E. John Manley
    John Manley was an American naval officer who served as one of the Continental Navy’s most prominent frigate captains during the American Revolutionary War.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e64a4c8190b8d29ed638c7fef8 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.