Triple
T10699643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullio |
E252236
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tullio Gonnelli
Tullio Gonnelli was an Italian sprinter who competed in the 1936 Berlin Olympics, specializing in short-distance track events.
|
E1050415
|
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: Tullio Gonnelli | Statement: [Tullio, hasNotableBearer, Tullio Gonnelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tullio Gonnelli Context triple: [Tullio, hasNotableBearer, Tullio Gonnelli]
-
A.
Tullio Pizzorno
Tullio Pizzorno is an individual notable enough to be recognized as a prominent bearer of the given name Tullio.
-
B.
Francesco Gonella
Francesco Gonella was an Italian mountaineer after whom the high-altitude Rifugio Francesco Gonella in the Mont Blanc massif is named.
-
C.
Tebaldo Checchi
Tebaldo Checchi was an Italian actor best known as the husband of renowned stage actress Eleonora Duse.
-
D.
Enrico Colantoni
Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
-
E.
Tullio Carminati
Tullio Carminati was an Italian stage and film actor known for his suave, romantic roles in European cinema and Hollywood productions during the early to mid-20th century.
- 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: Tullio Gonnelli Triple: [Tullio, hasNotableBearer, Tullio Gonnelli]
Generated description
Tullio Gonnelli was an Italian sprinter who competed in the 1936 Berlin Olympics, specializing in short-distance track events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tullio Gonnelli Target entity description: Tullio Gonnelli was an Italian sprinter who competed in the 1936 Berlin Olympics, specializing in short-distance track events.
-
A.
Tullio Pizzorno
Tullio Pizzorno is an individual notable enough to be recognized as a prominent bearer of the given name Tullio.
-
B.
Francesco Gonella
Francesco Gonella was an Italian mountaineer after whom the high-altitude Rifugio Francesco Gonella in the Mont Blanc massif is named.
-
C.
Tebaldo Checchi
Tebaldo Checchi was an Italian actor best known as the husband of renowned stage actress Eleonora Duse.
-
D.
Enrico Colantoni
Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
-
E.
Tullio Carminati
Tullio Carminati was an Italian stage and film actor known for his suave, romantic roles in European cinema and Hollywood productions during the early to mid-20th century.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f6baca4819080f85da5fe0c2aba |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 8, 2026, 9:12 p.m.