Triple

T15266459
Position Surface form Disambiguated ID Type / Status
Subject Lula Carson Smith E364912 entity
Predicate givenName P17 FINISHED
Object Carson E307443 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: Carson | Statement: [Lula Carson Smith, givenName, Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carson
Context triple: [Lula Carson Smith, givenName, Carson]
  • A. Carson
    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 chosen
    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 (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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.