Triple

T12013653
Position Surface form Disambiguated ID Type / Status
Subject Fielder Jones E285969 entity
Predicate givenName P17 FINISHED
Object Fielder E435788 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: Fielder | Statement: [Fielder Jones, givenName, Fielder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fielder
Context triple: [Fielder Jones, givenName, Fielder]
  • A. Fielder chosen
    Fielder is the surname of Prince Fielder, a former Major League Baseball slugger known for his power hitting and multiple All-Star selections.
  • B. Fielder Cook
    Fielder Cook was an American film and television director known for his work on acclaimed TV movies and adaptations, particularly during the mid-20th century.
  • C. Fielder Jones
    Fielder Jones was an early 20th-century Major League Baseball manager and outfielder best known for leading the Chicago White Sox to a championship in the dead-ball era.
  • D. Gunner Boone
    Gunner Boone is the young protagonist of the fantasy drama film "The Water Man," who embarks on a perilous quest to find a mythical figure he believes can save his ailing mother.
  • E. Josey Aimes
    Josey Aimes is the fictional protagonist of the film "North Country," a single mother who becomes one of the first women to work in a Minnesota iron mine and leads a landmark sexual harassment lawsuit.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d884488190b4450a98088208ef completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b4535f48190ac5b2cabb4daf4af completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:46 p.m.