Triple

T11553412
Position Surface form Disambiguated ID Type / Status
Subject David Garrick E273950 entity
Predicate notableWork P4 FINISHED
Object Bon Ton
Bon Ton is an 18th-century comedic play by English actor-playwright David Garrick that satirizes the manners and affectations of high society.
 E932787 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: Bon Ton | Statement: [David Garrick, notableWork, Bon Ton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bon Ton
Context triple: [David Garrick, notableWork, Bon Ton]
  • A. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • B. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • C. Durkee
    Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
  • D. Tabutoa
    Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • E. Kapooka
    Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
  • 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: Bon Ton
Triple: [David Garrick, notableWork, Bon Ton]
Generated description
Bon Ton is an 18th-century comedic play by English actor-playwright David Garrick that satirizes the manners and affectations of high society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bon Ton
Target entity description: Bon Ton is an 18th-century comedic play by English actor-playwright David Garrick that satirizes the manners and affectations of high society.
  • A. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • B. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • C. Durkee
    Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
  • D. Tabutoa
    Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • E. Kapooka
    Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.