Triple

T2222394
Position Surface form Disambiguated ID Type / Status
Subject Laurence E48169 entity
Predicate hasSpellingVariant P457 FINISHED
Object Laurance
Laurance is a given name and surname, most commonly recognized as a spelling variant of Laurence.
E246298 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: Laurance | Statement: [Laurence, hasSpellingVariant, Laurance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurance
Context triple: [Laurence, hasSpellingVariant, Laurance]
  • A. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Luman Reed
    Luman Reed was a prominent 19th-century New York merchant and art patron who played a key role in supporting early American painters, including members of the Hudson River School.
  • D. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • E. Lalo
    Lalo is a common Spanish nickname for the given name Eduardo.
  • 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: Laurance
Triple: [Laurence, hasSpellingVariant, Laurance]
Generated description
Laurance is a given name and surname, most commonly recognized as a spelling variant of Laurence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laurance
Target entity description: Laurance is a given name and surname, most commonly recognized as a spelling variant of Laurence.
  • A. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Luman Reed
    Luman Reed was a prominent 19th-century New York merchant and art patron who played a key role in supporting early American painters, including members of the Hudson River School.
  • D. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • E. Lalo
    Lalo is a common Spanish nickname for the given name Eduardo.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65605fa481908ac5b9d837600626 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae669aa29c81909770cd69d27c274c completed March 9, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae66fb7f1c8190b2bc306f06c423f1 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:47 p.m.