Triple
T15039297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Copperfield |
E378557
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Copperfield
Copperfield is a fictional English surname best known from characters in Charles Dickens’s novel "David Copperfield."
|
E1133246
|
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: Copperfield | Statement: [Clara Copperfield, familyName, Copperfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copperfield Context triple: [Clara Copperfield, familyName, Copperfield]
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
El Cobre
El Cobre is a small Cuban town in Santiago de Cuba province, historically known for its copper mines and as a major Catholic pilgrimage site.
-
C.
Goldstone
Goldstone is a surname most notably associated with Richard Goldstone, a South African former judge and international war crimes prosecutor.
-
D.
Guyer
Guyer is a surname of German origin borne by various individuals, including athletes, academics, and public figures.
-
E.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
- 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: Copperfield Triple: [Clara Copperfield, familyName, Copperfield]
Generated description
Copperfield is a fictional English surname best known from characters in Charles Dickens’s novel "David Copperfield."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Copperfield Target entity description: Copperfield is a fictional English surname best known from characters in Charles Dickens’s novel "David Copperfield."
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
El Cobre
El Cobre is a small Cuban town in Santiago de Cuba province, historically known for its copper mines and as a major Catholic pilgrimage site.
-
C.
Goldstone
Goldstone is a surname most notably associated with Richard Goldstone, a South African former judge and international war crimes prosecutor.
-
D.
Guyer
Guyer is a surname of German origin borne by various individuals, including athletes, academics, and public figures.
-
E.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9fdba3c48190b1d370f7c066801f |
completed | May 9, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea0b87db881909607bcf0df5b0979 |
completed | May 9, 2026, 2:49 a.m. |
Created at: April 10, 2026, 3 a.m.