Triple

T11521086
Position Surface form Disambiguated ID Type / Status
Subject Sarah Margaret Fuller E273162 entity
Predicate familyName P18 FINISHED
Object Fuller E80984 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: Fuller | Statement: [Sarah Margaret Fuller, familyName, Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuller
Context triple: [Sarah Margaret Fuller, familyName, Fuller]
  • A. Fuller chosen
    Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
  • B. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • C. Fulpmes
    Fulpmes is a Tyrolean village in western Austria known for its alpine setting in the Stubai Valley and its tradition of metalworking and tourism.
  • D. Fulman
    Fulman is a surname that may refer to individuals such as Jason Fulman and others who share this family name.
  • E. Flecker
    Flecker is the surname of James Elroy Flecker, an early 20th-century British poet and playwright known for his symbolist and exotic verse.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62551a36081908ef6418fe8e2155c completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.