Triple
T4060980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Lapworth |
E86209
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lapworth
Lapworth is an English surname most notably associated with Charles Lapworth, a pioneering geologist known for his work on Ordovician stratigraphy.
|
E410420
|
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: Lapworth | Statement: [Charles Lapworth, familyName, Lapworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapworth Context triple: [Charles Lapworth, familyName, Lapworth]
-
A.
Wollaston
Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
-
B.
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Warburton
Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
-
D.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
E.
Latimer
Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
- 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: Lapworth Triple: [Charles Lapworth, familyName, Lapworth]
Generated description
Lapworth is an English surname most notably associated with Charles Lapworth, a pioneering geologist known for his work on Ordovician stratigraphy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lapworth Target entity description: Lapworth is an English surname most notably associated with Charles Lapworth, a pioneering geologist known for his work on Ordovician stratigraphy.
-
A.
Wollaston
Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
-
B.
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Warburton
Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
-
D.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
E.
Latimer
Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd4acb0819093bcffcd05ed8e6f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a98c488190a7e77cd46ff998bc |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.