Triple

T4056361
Position Surface form Disambiguated ID Type / Status
Subject Earl Grey E84703 entity
Predicate familyName P18 FINISHED
Object Grey
Grey is a British aristocratic family name historically associated with prominent political figures and nobility, including several Earls Grey.
 E218431 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: Grey | Statement: [Earl Grey, familyName, Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grey
Context triple: [Earl Grey, familyName, Grey]
  • A. Gray
    Gray is the commonly used short form of the name Gray Davis, the former governor of California.
  • B. Gray
    Gray is a historic commune in eastern France known for its picturesque setting along the Saône River and its well-preserved old town.
  • C. Gray
    Gray is a common English surname of Anglo-Saxon origin, often associated with families from Britain and Ireland.
  • D. Brown
    Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • 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: Grey
Triple: [Earl Grey, familyName, Grey]
Generated description
Grey is a British aristocratic family name historically associated with prominent political figures and nobility, including several Earls Grey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grey
Target entity description: Grey is a British aristocratic family name historically associated with prominent political figures and nobility, including several Earls Grey.
  • A. Gray
    Gray is the commonly used short form of the name Gray Davis, the former governor of California.
  • B. Gray
    Gray is a historic commune in eastern France known for its picturesque setting along the Saône River and its well-preserved old town.
  • C. Gray chosen
    Gray is a common English surname of Anglo-Saxon origin, often associated with families from Britain and Ireland.
  • D. Brown
    Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • F. None of above.

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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbad953c81909d7b42fae5db9f25 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a390e4819095cc06f15f6da3b8 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5637cd5b881909a930ecb33eed991 completed March 14, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69b564603b4881909e80970aa21e3db4 completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:38 p.m.