Triple

T19367588
Position Surface form Disambiguated ID Type / Status
Subject Zdeněk E484442 entity
Predicate equivalentInEnglish P31361 FINISHED
Object Sidney
Sidney is an English given name commonly used for both males and females, historically associated with figures such as the poet Sir Philip Sidney.
 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: [Zdeněk, equivalentInEnglish, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sidney
Context triple: [Zdeněk, equivalentInEnglish, 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 the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • 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: [Zdeněk, equivalentInEnglish, Sidney]
Generated description
Sidney is an English given name commonly used for both males and females, historically associated with figures such as the poet Sir Philip Sidney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sidney
Target entity description: Sidney is an English given name commonly used for both males and females, historically associated with figures such as the poet Sir Philip Sidney.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619adac8881909136c50351f3683d completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241692fc81909b627d1939165823 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:35 p.m.