Triple
T13554001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandolfi family |
E323721
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gandolfi
Gandolfi is an Italian surname most notably associated with a family of artists and composers active from the 18th century onward.
|
E1047382
|
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: Gandolfi | Statement: [Gandolfi family, familyName, Gandolfi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gandolfi Context triple: [Gandolfi family, familyName, Gandolfi]
-
A.
Vizzini
Vizzini is a cunning but overconfident Sicilian criminal mastermind and kidnapper in the fantasy adventure film and novel "The Princess Bride."
-
B.
Vizzini
Vizzini is a historic hill town in Sicily, Italy, known for its traditional architecture and its association with the writer Giovanni Verga.
-
C.
Ingomar
Ingomar is a masculine given name of Germanic origin, used as a variant form of the name Ingo.
-
D.
Valdir
Valdir is a masculine given name of Germanic origin commonly used in Brazil and other Portuguese-speaking countries.
-
E.
Zelmo
Zelmo is a masculine given name most notably associated with American basketball Hall of Famer Zelmo Beaty.
- 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: Gandolfi Triple: [Gandolfi family, familyName, Gandolfi]
Generated description
Gandolfi is an Italian surname most notably associated with a family of artists and composers active from the 18th century onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gandolfi Target entity description: Gandolfi is an Italian surname most notably associated with a family of artists and composers active from the 18th century onward.
-
A.
Vizzini
Vizzini is a cunning but overconfident Sicilian criminal mastermind and kidnapper in the fantasy adventure film and novel "The Princess Bride."
-
B.
Vizzini
Vizzini is a historic hill town in Sicily, Italy, known for its traditional architecture and its association with the writer Giovanni Verga.
-
C.
Ingomar
Ingomar is a masculine given name of Germanic origin, used as a variant form of the name Ingo.
-
D.
Valdir
Valdir is a masculine given name of Germanic origin commonly used in Brazil and other Portuguese-speaking countries.
-
E.
Zelmo
Zelmo is a masculine given name most notably associated with American basketball Hall of Famer Zelmo Beaty.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:46 p.m.