Triple

T17245245
Position Surface form Disambiguated ID Type / Status
Subject Kurt Ingston E418606 entity
Predicate portrayedBy P1507 FINISHED
Object Ralph Morgan E281744 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: Ralph Morgan | Statement: [Kurt Ingston, portrayedBy, Ralph Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Morgan
Context triple: [Kurt Ingston, portrayedBy, Ralph Morgan]
  • A. Ralph Morgan chosen
    Ralph Morgan was an American character actor of stage and screen, known for his prolific work in early Hollywood films and for helping found the Screen Actors Guild.
  • B. Ralph Stackpole
    Ralph Stackpole was an American sculptor and painter associated with the San Francisco art scene, known for his public works and contributions to New Deal–era projects.
  • C. Ralph Frost
    Ralph Frost is an individual notable enough to be recognized as a bearer of the surname Frost.
  • D. Ralph Jordan
    Ralph Jordan was a longtime Auburn University football coach and athletic figure whose legacy is commemorated in the naming of Jordan–Hare Stadium.
  • E. Ralph Graves
    Ralph Graves was an American film actor prominent in the silent and early sound eras, often appearing in action and drama films of the 1920s and 1930s.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.