Triple
T6642881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Constance Keeble |
E150628
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joseph Keeble
Joseph Keeble is a fictional wealthy, good-natured financier in P. G. Wodehouse’s Blandings Castle stories, known for his indulgent generosity and mild-mannered temperament.
|
E622335
|
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: Joseph Keeble | Statement: [Lady Constance Keeble, spouse, Joseph Keeble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Keeble Context triple: [Lady Constance Keeble, spouse, Joseph Keeble]
-
A.
John Keeble
John Keeble is an English drummer best known as a founding member of the 1980s new wave band Spandau Ballet.
-
B.
Robert Keene
Robert Keene was the husband of American Abstract Expressionist painter Grace Hartigan.
-
C.
Anthony Peckham
Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
-
D.
Joseph McHardy
Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
-
E.
Charles Bebb
Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
- 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: Joseph Keeble Triple: [Lady Constance Keeble, spouse, Joseph Keeble]
Generated description
Joseph Keeble is a fictional wealthy, good-natured financier in P. G. Wodehouse’s Blandings Castle stories, known for his indulgent generosity and mild-mannered temperament.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Keeble Target entity description: Joseph Keeble is a fictional wealthy, good-natured financier in P. G. Wodehouse’s Blandings Castle stories, known for his indulgent generosity and mild-mannered temperament.
-
A.
John Keeble
John Keeble is an English drummer best known as a founding member of the 1980s new wave band Spandau Ballet.
-
B.
Robert Keene
Robert Keene was the husband of American Abstract Expressionist painter Grace Hartigan.
-
C.
Anthony Peckham
Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
-
D.
Joseph McHardy
Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
-
E.
Charles Bebb
Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff749d48190bf24d448daf13bc7 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723b575a08190a3e0b1f233c36ba0 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c724a4f64481908676d15a09e9db28 |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725814d188190bd158292b34a553f |
completed | March 28, 2026, 12:49 a.m. |
Created at: March 27, 2026, 2 p.m.