Triple

T4558663
Position Surface form Disambiguated ID Type / Status
Subject Solomon Lazarus Lee E120540 entity
Predicate hasGivenName P17 FINISHED
Object Sidney
Sidney is a given name used for people of various backgrounds, including figures such as Solomon Lazarus Lee.
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: [Solomon Lazarus Lee, hasGivenName, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney
Context triple: [Solomon Lazarus Lee, hasGivenName, 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: [Solomon Lazarus Lee, hasGivenName, Sidney]
Generated description
Sidney is a given name used for people of various backgrounds, including figures such as Solomon Lazarus Lee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sidney
Target entity description: Sidney is a given name used for people of various backgrounds, including figures such as Solomon Lazarus Lee.
  • 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 chosen
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5829cc34819086ad2ae58446502e completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc58c3fb08190ae1bc599d53e6e76 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc975c07c8190b506bf8ece290739 completed March 20, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69bdc9f824a081909df0ae6d89fc8448 completed March 20, 2026, 10:28 p.m.
Created at: March 20, 2026, 1:09 p.m.