Triple
T20358347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facetiae |
E496709
|
entity |
| Predicate | titleInEnglish |
P6688
|
FINISHED |
| Object |
Jests
Jests is the English title of the Renaissance-era collection of humorous and often bawdy anecdotes known as Facetiae.
|
E1426813
|
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: Jests | Statement: [Facetiae, titleInEnglish, Jests]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jests Context triple: [Facetiae, titleInEnglish, Jests]
-
A.
The Joke
"The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
-
B.
The Joke
The Joke is a novel by Milan Kundera that blends dark humor and political critique to explore the personal and ideological consequences of life under a repressive communist regime.
-
C.
Clowns
"Clowns" is a photographic series by Cindy Sherman in which she uses elaborate costumes and makeup to explore identity, performance, and the unsettling aspects of clown imagery.
-
D.
Laughing Matter
Laughing Matter is a studio album by the American experimental rock band Wand, noted for its atmospheric sound and introspective songwriting.
-
E.
Belaugh
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
- 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: Jests Triple: [Facetiae, titleInEnglish, Jests]
Generated description
Jests is the English title of the Renaissance-era collection of humorous and often bawdy anecdotes known as Facetiae.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jests Target entity description: Jests is the English title of the Renaissance-era collection of humorous and often bawdy anecdotes known as Facetiae.
-
A.
The Joke
"The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
-
B.
The Joke
The Joke is a novel by Milan Kundera that blends dark humor and political critique to explore the personal and ideological consequences of life under a repressive communist regime.
-
C.
Clowns
"Clowns" is a photographic series by Cindy Sherman in which she uses elaborate costumes and makeup to explore identity, performance, and the unsettling aspects of clown imagery.
-
D.
Laughing Matter
Laughing Matter is a studio album by the American experimental rock band Wand, noted for its atmospheric sound and introspective songwriting.
-
E.
Belaugh
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67855c3a88190b88839a47d01184d |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087083b5108190a94f0a9dc405904c |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 16, 2026, 11:25 a.m.