Triple

T21040219
Position Surface form Disambiguated ID Type / Status
Subject The Sweeney E518300 entity
Predicate leadActor P1507 FINISHED
Object Garfield Morgan 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: Garfield Morgan | Statement: [The Sweeney, leadActor, Garfield Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garfield Morgan
Context triple: [The Sweeney, leadActor, Garfield Morgan]
  • A. Garfield Morgan chosen
    Garfield Morgan was a British character actor known for his numerous film and television roles, particularly in crime dramas.
  • B. Henry Durant
    Henry Durant is a notable individual best known for being a prominent bearer of the Durant surname, associated with significant achievements or public recognition.
  • C. Hiram Daniel Scott
    Hiram Daniel Scott was a 19th-century American settler and landowner whose ranch formed the basis of what later became Scotts Valley, California.
  • D. Gilbert Thomas Morgan
    Gilbert Thomas Morgan was a prominent British chemist known for his influential work in coordination chemistry and for mentoring future leaders in the field.
  • E. Henry Clay Morrison
    Henry Clay Morrison was an influential American Methodist evangelist, educator, and holiness movement leader in the late 19th and early 20th centuries.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:14 p.m.