Triple

T10662784
Position Surface form Disambiguated ID Type / Status
Subject Sidney Webster E251269 entity
Predicate givenName P17 FINISHED
Object Sidney
Sidney is a given name used for both males and females, historically derived from an English surname.
 E247940 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: [Sidney Webster, givenName, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sidney
Context triple: [Sidney Webster, givenName, 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 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
  • 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: [Sidney Webster, givenName, Sidney]
Generated description
Sidney is a given name used for both males and females, historically derived from an English surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sidney
Target entity description: Sidney is a given name used for both males and females, historically derived from an English surname.
  • A. Sidney chosen
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • B. Sidney
    Sidney is an English surname historically associated with the prominent Sidney family, including figures such as Frances Sidney, Countess of Sussex.
  • C. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • D. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • 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.

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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31b72d081908ec8029cd9f6d814 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.