Triple

T17874866
Position Surface form Disambiguated ID Type / Status
Subject Ebenezer Allen E446926 entity
Predicate givenName P17 FINISHED
Object Ebenezer 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: Ebenezer | Statement: [Ebenezer Allen, givenName, Ebenezer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebenezer
Context triple: [Ebenezer Allen, 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
    Ebenezer is a rural locality within the jurisdiction of the Ipswich City Council in Queensland, Australia.
  • C. Ebenezer Gay
    Ebenezer Gay was an American Congregational minister and early proponent of liberal Christian theology in New England.
  • D. Ebenezer Landells
    Ebenezer Landells was a 19th-century British wood-engraver and illustrator best known for co-founding the satirical magazine Punch.
  • E. 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.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa54d1481908c0af8533edd51c4 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.