Triple

T5146983
Position Surface form Disambiguated ID Type / Status
Subject Benning Wentworth E116095 entity
Predicate givenName P17 FINISHED
Object Benning
Benning is a masculine given name of English origin, historically associated with figures such as colonial governor Benning Wentworth.
 E497394 NE FINISHED

How this triple was built (4 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: Benning | Statement: [Benning Wentworth, givenName, Benning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benning
Context triple: [Benning Wentworth, givenName, Benning]
  • A. Benning
    Benning is a residential neighborhood in Northeast Washington, D.C., known for its proximity to major thoroughfares and access to public transit.
  • B. Carle
    Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Benning
Triple: [Benning Wentworth, givenName, Benning]
Generated description
Benning is a masculine given name of English origin, historically associated with figures such as colonial governor Benning Wentworth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benning
Target entity description: Benning is a masculine given name of English origin, historically associated with figures such as colonial governor Benning Wentworth.
  • A. Benning
    Benning is a residential neighborhood in Northeast Washington, D.C., known for its proximity to major thoroughfares and access to public transit.
  • B. Carle
    Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • F. None of above. chosen

Provenance (5 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78afc32081909fd4de3dbf31ea3a completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becffa6a2881908f4b1ef85bdcce30 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed09cf66481909f7aa65de3fce54d completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed136a790819083ec5b8ae923fa3e completed March 21, 2026, 5:11 p.m.
Created at: March 20, 2026, 1:43 p.m.