Triple
T8228583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniele Manin |
E192232
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Manin
Manin is an Italian surname most notably associated with Daniele Manin, a key leader of the Venetian revolution against Austrian rule in 1848–49.
|
E720576
|
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: Manin | Statement: [Daniele Manin, familyName, Manin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manin Context triple: [Daniele Manin, familyName, Manin]
-
A.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
B.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
C.
Menen
Menen is a town in the Belgian province of West Flanders, located near the border with France.
-
D.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
E.
Shaiman
Shaiman is a surname most notably associated with Marc Shaiman, the American composer and lyricist known for his work in film, television, and musical theatre.
- 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: Manin Triple: [Daniele Manin, familyName, Manin]
Generated description
Manin is an Italian surname most notably associated with Daniele Manin, a key leader of the Venetian revolution against Austrian rule in 1848–49.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manin Target entity description: Manin is an Italian surname most notably associated with Daniele Manin, a key leader of the Venetian revolution against Austrian rule in 1848–49.
-
A.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
B.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
C.
Menen
Menen is a town in the Belgian province of West Flanders, located near the border with France.
-
D.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
E.
Shaiman
Shaiman is a surname most notably associated with Marc Shaiman, the American composer and lyricist known for his work in film, television, and musical theatre.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb780051988190adb47c02e0dcea51 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34d4b6ec81909bc5d23bad1f326b |
completed | April 1, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69cd36ef47e88190ae96ea2459552247 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4eb519608190b5d0f534170214b5 |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:46 p.m.