Triple

T12352863
Position Surface form Disambiguated ID Type / Status
Subject James Gambier E294534 entity
Predicate familyName P18 FINISHED
Object Gambier
Gambier is an English surname most notably associated with Admiral James Gambier, a British naval officer and politician of the late 18th and early 19th centuries.
E979774 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: Gambier | Statement: [James Gambier, familyName, Gambier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gambier
Context triple: [James Gambier, familyName, Gambier]
  • A. Demerara
    Demerara was a former Dutch and later British colony on the northern coast of South America, in the area that is now part of Guyana.
  • B. Darien
    Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
  • C. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • D. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • E. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • 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: Gambier
Triple: [James Gambier, familyName, Gambier]
Generated description
Gambier is an English surname most notably associated with Admiral James Gambier, a British naval officer and politician of the late 18th and early 19th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gambier
Target entity description: Gambier is an English surname most notably associated with Admiral James Gambier, a British naval officer and politician of the late 18th and early 19th centuries.
  • A. Demerara
    Demerara was a former Dutch and later British colony on the northern coast of South America, in the area that is now part of Guyana.
  • B. Darien
    Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
  • C. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • D. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • E. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8aa33c8190b22b7dff9559b8ed completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.