Triple

T6748941
Position Surface form Disambiguated ID Type / Status
Subject Ebenezer Gay E154291 entity
Predicate givenName P17 FINISHED
Object Ebenezer E348555 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: Ebenezer | Statement: [Ebenezer Gay, givenName, Ebenezer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebenezer
Context triple: [Ebenezer Gay, givenName, Ebenezer]
  • A. Ebenezer chosen
    Ebenezer is a masculine given name of Hebrew origin, historically associated with religious and literary contexts and borne by figures such as urban planner Ebenezer Howard.
  • B. Ebenezer Gay
    Ebenezer Gay was an American Congregational minister and early proponent of liberal Christian theology in New England.
  • C. Ebenezer Breed
    Ebenezer Breed was a prominent Boston merchant and landowner in the 18th century whose name was given to Breed's Hill, a key site in the American Revolutionary War.
  • D. Ebenezer Francis
    Ebenezer Francis was an American Continental Army officer and colonel who fought in the Revolutionary War and was killed while leading his troops at the Battle of Hubbardton in 1777.
  • E. Ebenezer Francis
    Ebenezer Francis was an American businessman best known as the founder of the Boston-based financial services company State Street Corporation.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d8bfa48190a7fc48102258ae17 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.