Triple

T6805660
Position Surface form Disambiguated ID Type / Status
Subject Frances Sidney, Countess of Sussex E156298 entity
Predicate familyName P18 FINISHED
Object Sidney
Sidney is an English surname historically associated with the prominent Sidney family, including figures such as Frances Sidney, Countess of Sussex.
 E620389 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: Sidney | Statement: [Frances Sidney, Countess of Sussex, familyName, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sidney
Context triple: [Frances Sidney, Countess of Sussex, familyName, Sidney]
  • A. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • B. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • C. Sidney
    Sidney is a small coastal town on Vancouver Island in British Columbia, Canada, known for its waterfront, ferry connections, and proximity to Victoria.
  • D. Sidney
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • E. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • 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: Sidney
Triple: [Frances Sidney, Countess of Sussex, familyName, Sidney]
Generated description
Sidney is an English surname historically associated with the prominent Sidney family, including figures such as Frances Sidney, Countess of Sussex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sidney
Target entity description: Sidney is an English surname historically associated with the prominent Sidney family, including figures such as Frances Sidney, Countess of Sussex.
  • A. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • B. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • C. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • D. Sidney
    Sidney is a small coastal town on Vancouver Island in British Columbia, Canada, known for its waterfront, ferry connections, and proximity to Victoria.
  • E. Sidney
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d3082dcc8190a84bc056236cc52e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9ff30c8190aaf2687dd41fc07a completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71c17e07c81908fef1cb773a87303 completed March 28, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69c71c95299c8190b149082ede7da88c completed March 28, 2026, 12:11 a.m.
Created at: March 27, 2026, 2:16 p.m.