Triple
T12254626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Bettega |
E292067
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bettega
Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
|
E972611
|
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: Bettega | Statement: [Roberto Bettega, familyName, Bettega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettega Context triple: [Roberto Bettega, familyName, Bettega]
-
A.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
B.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
C.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
D.
Bosha
Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
-
E.
Ballana
Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
- 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: Bettega Triple: [Roberto Bettega, familyName, Bettega]
Generated description
Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bettega Target entity description: Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
-
A.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
B.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
C.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
D.
Bosha
Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
-
E.
Ballana
Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abdc5988190a19104385f54fb06 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60d8456d881908b5647b77fc53780 |
completed | May 2, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60e2c52b0819094c8e67286235400 |
completed | May 2, 2026, 2:46 p.m. |
Created at: April 8, 2026, 9:52 p.m.