Triple

T1955568
Position Surface form Disambiguated ID Type / Status
Subject Samuel Gray E42259 entity
Predicate familyName P18 FINISHED
Object Gray
Gray is a common English surname of Anglo-Saxon origin, often associated with families from Britain and Ireland.
 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: Gray | Statement: [Samuel Gray, familyName, Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gray
Context triple: [Samuel Gray, familyName, Gray]
  • 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. Brown
    Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • D. 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.
  • E. Maroon
    Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
  • 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: Gray
Triple: [Samuel Gray, familyName, Gray]
Generated description
Gray is a common English surname of Anglo-Saxon origin, often associated with families from Britain and Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gray
Target entity description: Gray is a common English surname of Anglo-Saxon origin, often associated with families from Britain and Ireland.
  • 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. Brown
    Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • D. 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.
  • E. Maroon
    Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb353aa8c81909810347f9981a02f completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbca5a7081908f3fa8eaa8f5aa3d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6bd8e08190a065a89ab3412126 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcee414c8190b1a0574f6bd55602 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.