Triple
T14847406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive Swift |
E349133
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Richard Bucket
Richard Bucket is the long-suffering, socially anxious husband of Hyacinth in the British sitcom "Keeping Up Appearances."
|
E1124509
|
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: Richard Bucket | Statement: [Clive Swift, notableRole, Richard Bucket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Bucket Context triple: [Clive Swift, notableRole, Richard Bucket]
-
A.
Jonathan Oldbuck
Jonathan Oldbuck is a fictional, eccentric antiquary and amateur historian who serves as the central figure in Sir Walter Scott’s novel "The Antiquary."
-
B.
Albert Narracott
Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
Philip Voyzey
Philip Voyzey was an actor who appeared in the classic 1950 film "All About Eve."
-
E.
Ted Buckland
Ted Buckland is a neurotic, often bumbling hospital lawyer from the TV series "Scrubs," known for his awkward behavior and unrequited crushes.
- 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: Richard Bucket Triple: [Clive Swift, notableRole, Richard Bucket]
Generated description
Richard Bucket is the long-suffering, socially anxious husband of Hyacinth in the British sitcom "Keeping Up Appearances."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Bucket Target entity description: Richard Bucket is the long-suffering, socially anxious husband of Hyacinth in the British sitcom "Keeping Up Appearances."
-
A.
Jonathan Oldbuck
Jonathan Oldbuck is a fictional, eccentric antiquary and amateur historian who serves as the central figure in Sir Walter Scott’s novel "The Antiquary."
-
B.
Albert Narracott
Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
Philip Voyzey
Philip Voyzey was an actor who appeared in the classic 1950 film "All About Eve."
-
E.
Ted Buckland
Ted Buckland is a neurotic, often bumbling hospital lawyer from the TV series "Scrubs," known for his awkward behavior and unrequited crushes.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6502d3f081909ff6fa8722769e2e |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe662fa374819083367ba7f9da2272 |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe67664044819084196e3e6e365415 |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:53 a.m.