Triple
T8474202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesco Crispi |
E200349
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
|
E735456
|
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: Crispi | Statement: [Francesco Crispi, familyName, Crispi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crispi Context triple: [Francesco Crispi, familyName, Crispi]
-
A.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
B.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
C.
Cracker Jack
Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
-
D.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
E.
Fry's English Delight
Fry's English Delight is a BBC Radio 4 documentary series in which Stephen Fry explores the quirks, history, and evolving nature of the English language.
- 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: Crispi Triple: [Francesco Crispi, familyName, Crispi]
Generated description
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crispi Target entity description: Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
-
A.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
B.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
C.
Cracker Jack
Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
-
D.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
E.
Fry's English Delight
Fry's English Delight is a BBC Radio 4 documentary series in which Stephen Fry explores the quirks, history, and evolving nature of the English language.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f7328481909ad19bcf8d182022 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a057b6c8190ad592110ca393ee2 |
completed | April 2, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ce3b1f6f7c8190927b5e2684ae207b |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3b9d38e081909be10cb209b15427 |
completed | April 2, 2026, 9:49 a.m. |
Created at: March 30, 2026, 6:11 p.m.