Triple

T1266768
Position Surface form Disambiguated ID Type / Status
Subject Augusta, Maine E15617 entity
Predicate namedAfter P63 FINISHED
Object Augusta Dearborn E15617 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: Augusta Dearborn | Statement: [Augusta, Maine, namedAfter, Augusta Dearborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta Dearborn
Context triple: [Augusta, Maine, namedAfter, Augusta Dearborn]
  • A. Augusta Dearborn chosen
    Augusta Dearborn was the woman in whose honor the city of Augusta, Maine, received its name.
  • B. Clara Jane Bryant Ford
    Clara Jane Bryant Ford was an American philanthropist and social activist best known as the longtime wife and partner of industrialist Henry Ford.
  • C. Martha Firestone Ford
    Martha Firestone Ford is an American businesswoman and principal owner of the NFL's Detroit Lions, known for her leadership of the franchise following the death of her husband William Clay Ford Sr.
  • D. Thelma Irene Chrysler
    Thelma Irene Chrysler was a daughter of American automotive pioneer Walter Chrysler and a member of the prominent Chrysler family.
  • E. Elsie Ann Ford
    Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c037f14c8190baa42f70f8846583 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0ccff4819092948c249e0cb39b completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:50 p.m.