Triple

T20543813
Position Surface form Disambiguated ID Type / Status
Subject Nellie Kim E504413 entity
Predicate givenName P17 FINISHED
Object Nellie E1305186 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: Nellie | Statement: [Nellie Kim, givenName, Nellie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nellie
Context triple: [Nellie Kim, givenName, Nellie]
  • A. Nellie
    Nellie is the familiar nickname of Nellie Connally, the former First Lady of Texas who was riding in the car with President John F. Kennedy during his assassination in 1963.
  • B. Nellie
    Nellie is a central character in the British period drama series "Lark Rise to Candleford," which portrays life in a rural English community in the late 19th century.
  • C. Nellie
    Nellie is the given first name of the American actress, singer, and television host Polly Bergen.
  • D. Nellie
    Nellie was the nickname of Nellie Fox, a Hall of Fame Major League Baseball second baseman best known for his stellar defense and contact hitting with the Chicago White Sox in the 1950s.
  • E. Nellie chosen
    Nellie is a given name commonly used as a feminine first name in English-speaking contexts.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2957c308190aab81127f82f8aa6 completed April 20, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3dbec1081908614aec1b14b5b45 completed May 16, 2026, 6:13 p.m.
Created at: April 16, 2026, 11:38 a.m.