Triple

T14719889
Position Surface form Disambiguated ID Type / Status
Subject Danvers Osborn E345783 entity
Predicate givenName P17 FINISHED
Object Danvers NE NERFINISHED

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: Danvers | Statement: [Danvers Osborn, givenName, Danvers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danvers
Context triple: [Danvers Osborn, givenName, Danvers]
  • A. Danvers, Massachusetts chosen
    Danvers, Massachusetts is a historic New England town north of Boston, best known as the former Salem Village associated with the 1692 Salem witch trials.
  • B. Newburyport
    Newburyport is a historic coastal city in northeastern Massachusetts known for its maritime heritage, preserved downtown, and role as a commuter hub to Boston.
  • C. Swampscott
    Swampscott is a coastal town in northeastern Massachusetts known for its residential character and seaside location north of Boston.
  • D. Stoneham
    Stoneham is an English-origin surname borne by various notable individuals, including figures in American sports and politics.
  • E. Lowell
    Lowell is a surname most prominently associated with former Major League Baseball third baseman and World Series MVP Mike Lowell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 1:29 a.m.