Triple

T1069574
Position Surface form Disambiguated ID Type / Status
Subject Banastre Tarleton E23293 entity
Predicate givenName P17 FINISHED
Object Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
 E124820 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: Banastre | Statement: [Banastre Tarleton, givenName, Banastre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banastre
Context triple: [Banastre Tarleton, givenName, Banastre]
  • 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. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • C. Ramillies
    Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
  • D. Coronel
    Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
  • E. Lascelles
    Lascelles is a British aristocratic family name historically associated with the Earls of Harewood and close ties to the royal family.
  • 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: Banastre
Triple: [Banastre Tarleton, givenName, Banastre]
Generated description
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banastre
Target entity description: Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • 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. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • C. Ramillies
    Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
  • D. Coronel
    Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
  • E. Lascelles
    Lascelles is a British aristocratic family name historically associated with the Earls of Harewood and close ties to the royal family.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b914b4908190886d6698294c6b5b completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a51c208190a9a603100ed7f5dc completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac431f9ebc81908bcc9b259b2e47a8 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.