Triple

T1993182
Position Surface form Disambiguated ID Type / Status
Subject Francis Folger Franklin E43296 entity
Predicate familyName P18 FINISHED
Object Franklin E58775 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: Franklin | Statement: [Francis Folger Franklin, familyName, Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin
Context triple: [Francis Folger Franklin, familyName, Franklin]
  • A. Franklin chosen
    Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
  • B. Franklin
    Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
  • C. Benjamin Franklin
    Benjamin Franklin was a leading American polymath of the 18th century, renowned as a statesman, inventor, writer, and key figure in the American Enlightenment and the founding of the United States.
  • D. Philo Delano
    Philo Delano was a member of the prominent Delano family, an American lineage known for its historical influence and connections to notable political figures.
  • E. Adams
    Adams is a common English surname borne by numerous notable figures in fields such as politics, literature, science, and entertainment.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86275c88190bed869e9d3cf7ed5 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fdd7b5c8190bf23a138c28857f8 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.