Triple
T6200550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mantello |
E138617
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mantello
Mantello is an Italian surname borne by various individuals, including notable figures in the arts and public life.
|
E575853
|
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: Mantello | Statement: [Joe Mantello, familyName, Mantello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mantello Context triple: [Joe Mantello, familyName, Mantello]
-
A.
La Mantovana
La Mantovana is a 16th-century Italian folk melody that became widely influential across Europe and later served as the musical basis for several national and folk anthems.
-
B.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
C.
Tende
Tende is a historic mountain village in southeastern France’s Alpes-Maritimes, near the Italian border, known for its alpine scenery and medieval architecture.
-
D.
Cappa
Cappa is the stage name and common nickname of Cappadonna, an American rapper closely associated with the Wu-Tang Clan.
-
E.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
- 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: Mantello Triple: [Joe Mantello, familyName, Mantello]
Generated description
Mantello is an Italian surname borne by various individuals, including notable figures in the arts and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mantello Target entity description: Mantello is an Italian surname borne by various individuals, including notable figures in the arts and public life.
-
A.
La Mantovana
La Mantovana is a 16th-century Italian folk melody that became widely influential across Europe and later served as the musical basis for several national and folk anthems.
-
B.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
C.
Tende
Tende is a historic mountain village in southeastern France’s Alpes-Maritimes, near the Italian border, known for its alpine scenery and medieval architecture.
-
D.
Cappa
Cappa is the stage name and common nickname of Cappadonna, an American rapper closely associated with the Wu-Tang Clan.
-
E.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062547cd48190a2715537b961262e |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f366cfc81909cca73677268821a |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e375c5948190ad166089e866694a |
completed | March 24, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e43fa8348190a2247996d88b5011 |
completed | March 24, 2026, 1:09 a.m. |
Created at: March 22, 2026, 4:20 p.m.