Triple

T15974885
Position Surface form Disambiguated ID Type / Status
Subject United States Branch Mint E387418 entity
Predicate relatedTo P37 FINISHED
Object Charlotte Mint E16640 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: Charlotte Mint | Statement: [United States Branch Mint, relatedTo, Charlotte Mint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Mint
Context triple: [United States Branch Mint, relatedTo, Charlotte Mint]
  • A. Charlotte Mint chosen
    Charlotte Mint was a 19th-century branch of the U.S. Mint in North Carolina that primarily produced gold coins from locally mined gold before the Civil War.
  • B. Charlotte York
    Charlotte York is a prim, romantic, and traditional art dealer and one of the four central female protagonists in the Sex and the City franchise.
  • C. Marcheline
    Marcheline is the affectionate nickname of Marcheline Bertrand, an American actress and humanitarian best known as the mother of Angelina Jolie.
  • D. Minty
    Minty is the childhood nickname of Harriet Tubman, the famed American abolitionist and Underground Railroad conductor who helped enslaved people escape to freedom.
  • E. Charlotte Greenwood
    Charlotte Greenwood was an American actress, comedian, and dancer best known for her lanky physical comedy and memorable supporting roles in stage and film musicals.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572c216c81908f2070d2a87609c2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.