Triple
T12162754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiral Lord Howe |
E289748
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object |
Baron Howe
Baron Howe is a British noble title historically associated with the distinguished naval commander Admiral Richard Howe.
|
E965162
|
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: Baron Howe | Statement: [Admiral Lord Howe, nobleTitle, Baron Howe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baron Howe Context triple: [Admiral Lord Howe, nobleTitle, Baron Howe]
-
A.
Arent Roggeveen
Arent Roggeveen was a 17th-century Dutch cartographer and astronomer known for his work on navigation and mapping, particularly of the Atlantic and West African coasts.
-
B.
Gough
Gough is a surname of English origin borne by various notable individuals across fields such as acting, politics, and sports.
-
C.
Finsch
Finsch is the authority who first formally described the Fiordland crested penguin in the scientific literature.
-
D.
Goodricke
Goodricke is a surname of English origin, historically borne by several notable figures including astronomer John Goodricke.
-
E.
Enderby
Enderby is a village and civil parish in Leicestershire, England, situated near Leicester and known historically for its involvement in the hosiery and footwear industries.
- 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: Baron Howe Triple: [Admiral Lord Howe, nobleTitle, Baron Howe]
Generated description
Baron Howe is a British noble title historically associated with the distinguished naval commander Admiral Richard Howe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baron Howe Target entity description: Baron Howe is a British noble title historically associated with the distinguished naval commander Admiral Richard Howe.
-
A.
Arent Roggeveen
Arent Roggeveen was a 17th-century Dutch cartographer and astronomer known for his work on navigation and mapping, particularly of the Atlantic and West African coasts.
-
B.
Gough
Gough is a surname of English origin borne by various notable individuals across fields such as acting, politics, and sports.
-
C.
Finsch
Finsch is the authority who first formally described the Fiordland crested penguin in the scientific literature.
-
D.
Goodricke
Goodricke is a surname of English origin, historically borne by several notable figures including astronomer John Goodricke.
-
E.
Enderby
Enderby is a village and civil parish in Leicestershire, England, situated near Leicester and known historically for its involvement in the hosiery and footwear industries.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a0baf0819094e90b7e92b979d4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b7385881909ddb86a1d39ff5d4 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:50 p.m.