Triple
T856181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony La Russa |
E18496
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
|
E194259
|
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: La Russa | Statement: [Tony La Russa, familyName, La Russa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Russa Context triple: [Tony La Russa, familyName, La Russa]
-
A.
Rus'
Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
-
B.
Russia
Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
-
C.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
-
D.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
E.
Ural Soviet
The Ural Soviet was the regional Bolshevik authority in Russia’s Ural region that oversaw and carried out the execution of Tsar Nicholas II and his family during the Russian Civil War.
- 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: La Russa Triple: [Tony La Russa, familyName, La Russa]
Generated description
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Russa Target entity description: La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
-
A.
Rus'
Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
-
B.
Russia
Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
-
C.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
-
D.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
E.
Ural Soviet
The Ural Soviet was the regional Bolshevik authority in Russia’s Ural region that oversaw and carried out the execution of Tsar Nicholas II and his family during the Russian Civil War.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8a96e40081909c2d532d68b0b248 |
completed | March 8, 2026, 2:41 p.m. |
| NEDg | Description generation | batch_69ad95738df081909e56178cc1e0ab74 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97a1a44c8190a9d8fe05837ec9ff |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 1, 2026, 7:39 p.m.