Triple

T18013955
Position Surface form Disambiguated ID Type / Status
Subject Rachel Carson E430953 entity
Predicate familyName P18 FINISHED
Object Carson 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: Carson | Statement: [Rachel Carson, familyName, Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carson
Context triple: [Rachel Carson, familyName, Carson]
  • A. Carson chosen
    Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • B. Carson
    Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
  • C. Carson
    Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
  • D. Carson
    Carson is a fictional butler and key supporting character from the British television series "Downton Abbey," known for his formality, loyalty, and traditional values.
  • E. Nevin
    Nevin is a surname most notably associated with Phil Nevin, a former Major League Baseball player and manager.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b521befc81908dff44f19aa3d580 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.