Triple

T18065461
Position Surface form Disambiguated ID Type / Status
Subject George T. Morgan E432281 entity
Predicate name P16 FINISHED
Object George T. 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: George T. Morgan | Statement: [George T. Morgan, name, George T. Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George T. Morgan
Context triple: [George T. Morgan, name, George T. Morgan]
  • A. George T. Morgan chosen
    George T. Morgan was a British-born American engraver best known as the U.S. Mint designer of the iconic Morgan silver dollar.
  • B. George Virginia Morgan
    George Virginia Morgan is the daughter of American actress Hilarie Burton and actor Jeffrey Dean Morgan.
  • C. George Morgan
    George Morgan is an actor known for appearing in the underground 1966 film "Chafed Elbows," a satirical work by director Robert Downey Sr.
  • D. George Morgan
    George Morgan was an American country music singer best known for his smooth vocal style and mid-20th-century hits.
  • E. Christian Gobrecht
    Christian Gobrecht was a 19th-century American engraver and Chief Engraver of the United States Mint, best known for designing several influential U.S. coinage motifs.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.