Triple

T4224340
Position Surface form Disambiguated ID Type / Status
Subject Lawrence, Massachusetts E94417 entity
Predicate namedAfter P63 FINISHED
Object Abbott Lawrence E67645 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: Abbott Lawrence | Statement: [Lawrence, Massachusetts, namedAfter, Abbott Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbott Lawrence
Context triple: [Lawrence, Massachusetts, namedAfter, Abbott Lawrence]
  • A. Abbott Lawrence chosen
    Abbott Lawrence was a prominent 19th-century American industrialist, merchant, and politician who played a key role in the early textile industry and the development of Lawrence, Massachusetts.
  • B. Edward Everett Horton
    Edward Everett Horton was an American character actor and comedian best known for his droll, fussy persona in classic Hollywood films and early television.
  • C. George C. Perkins
    George C. Perkins was an American politician and businessman who served as the 14th governor of California and later as a U.S. Senator.
  • D. George A. Perkins
    George A. Perkins was an American lawyer best known as a founding partner of the prominent U.S. law firm Perkins Coie.
  • E. James R. Osgood
    James R. Osgood was a prominent 19th-century American publisher known for his influential role in the Boston literary scene and for publishing works by major authors of his time.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ac56548190a2d52b055cb48e8e completed March 21, 2026, 9:41 a.m.
Created at: March 12, 2026, 11:04 p.m.