Triple
T239502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Savio |
E4896
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Savio
Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
|
E31493
|
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: Savio | Statement: [Mario Savio, familyName, Savio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savio Context triple: [Mario Savio, familyName, Savio]
-
A.
Trent
The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
D.
Soter
Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
-
E.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
- 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: Savio Triple: [Mario Savio, familyName, Savio]
Generated description
Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savio Target entity description: Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
-
A.
Trent
The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
D.
Soter
Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
-
E.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ceaecdc81909e9ff49cb6a4e02a |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3695ec8cc8190a070462cd0022f6a |
completed | Feb. 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69a36a08408c8190af33b6d33000b78e |
completed | Feb. 28, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36a57f5048190ab4e96090a310977 |
completed | Feb. 28, 2026, 10:21 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.