Triple
T2222395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence |
E48169
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Lawrance
Lawrance is a given name and surname that functions as a spelling variant of the more common name Laurence.
|
E246299
|
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: Lawrance | Statement: [Laurence, hasSpellingVariant, Lawrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrance Context triple: [Laurence, hasSpellingVariant, Lawrance]
-
A.
Lour, Angus
Lour, Angus is a rural area in Angus, Scotland, known historically as the estate associated with the Carnegie family.
-
B.
Guy de Vere
Guy de Vere is a fictional nobleman and grieving lover who serves as the central speaker in Edgar Allan Poe’s poem "Lenore."
-
C.
Lord Hodge
Lord Hodge is a senior Scottish jurist who serves as Deputy President of the Supreme Court of the United Kingdom.
-
D.
Geoffrey Lawrence
Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
-
E.
Laurence Gardner
Laurence Gardner was a British author and lecturer known for his controversial books on alternative history, secret societies, and speculative theories about royal bloodlines and religious history.
- 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: Lawrance Triple: [Laurence, hasSpellingVariant, Lawrance]
Generated description
Lawrance is a given name and surname that functions as a spelling variant of the more common name Laurence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawrance Target entity description: Lawrance is a given name and surname that functions as a spelling variant of the more common name Laurence.
-
A.
Lour, Angus
Lour, Angus is a rural area in Angus, Scotland, known historically as the estate associated with the Carnegie family.
-
B.
Guy de Vere
Guy de Vere is a fictional nobleman and grieving lover who serves as the central speaker in Edgar Allan Poe’s poem "Lenore."
-
C.
Lord Hodge
Lord Hodge is a senior Scottish jurist who serves as Deputy President of the Supreme Court of the United Kingdom.
-
D.
Geoffrey Lawrence
Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
-
E.
Laurence Gardner
Laurence Gardner was a British author and lecturer known for his controversial books on alternative history, secret societies, and speculative theories about royal bloodlines and religious history.
- 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.