Triple

T16553723
Position Surface form Disambiguated ID Type / Status
Subject Edith Farnsworth E402137 entity
Predicate familyName P18 FINISHED
Object Farnsworth E1179580 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: Farnsworth | Statement: [Edith Farnsworth, familyName, Farnsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnsworth
Context triple: [Edith Farnsworth, familyName, Farnsworth]
  • A. Farnsworth chosen
    Farnsworth is a small unincorporated rural community located in Ochiltree County in the Texas Panhandle.
  • B. Vernor
    Vernor is a male given name most notably borne by the American science fiction author Vernor Vinge.
  • C. Area 41
    Area 41 is a designated FAO major fishing zone in the Atlantic Ocean used for global fisheries management and statistical reporting.
  • D. Warehorne
    Warehorne is a small rural village and civil parish in the Ashford district of Kent, England, known for its historic church and countryside setting.
  • E. Dunlap
    Dunlap is a residential neighborhood in Seattle’s Rainier Valley known for its diverse community and proximity to Lake Washington.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc737ac8190b755e2a39b6ef32b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ba4bec81909dfa87bcd2bfa7be completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.