Triple
T763929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fool's Paradise |
E16131
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Latte Pronto
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
|
E90122
|
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: Latte Pronto | Statement: [Fool's Paradise, mainCharacter, Latte Pronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latte Pronto Context triple: [Fool's Paradise, mainCharacter, Latte Pronto]
-
A.
Lavazza
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
-
B.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
C.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
-
D.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
E.
Mr. Coffee
Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
- 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: Latte Pronto Triple: [Fool's Paradise, mainCharacter, Latte Pronto]
Generated description
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Latte Pronto Target entity description: Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
-
A.
Lavazza
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
-
B.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
C.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
-
D.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
E.
Mr. Coffee
Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e46d86c81908bc0ea469ccb091d |
completed | March 3, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69a65eeaa34481909b0deac860fbadfc |
completed | March 3, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65f7b09b08190bf38f02a912b2276 |
completed | March 3, 2026, 4:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.