Triple

T5039656
Position Surface form Disambiguated ID Type / Status
Subject Brad Grey E113512 entity
Predicate familyName P18 FINISHED
Object Grey
Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
 E488411 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: [Brad Grey, familyName, Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grey
Context triple: [Brad 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: [Brad Grey, familyName, Grey]
Generated description
Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grey
Target entity description: Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
  • A. Gray
    Gray is a historic commune in eastern France known for its picturesque setting along the Saône River and its well-preserved old town.
  • B. Gray
    Gray is the commonly used short form of the name Gray Davis, the former governor of California.
  • 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

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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73dbf00c819094b67809dafdecc6 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8084388190b25bbffc42f0b3ed completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d42dc6c8190bd3d7666351ecd5b completed March 21, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69be9dace3fc81909c6f9ffc0d30b7f8 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:37 p.m.