Triple
T20666350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Fabrini |
E507896
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fabrini
Fabrini is an Italian-origin surname most commonly associated with individuals of Italian heritage.
|
E1444596
|
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: Fabrini | Statement: [Joe Fabrini, familyName, Fabrini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabrini Context triple: [Joe Fabrini, familyName, Fabrini]
-
A.
Fiorio
Fiorio is an Italian surname most notably associated with Cesare Fiorio, a prominent motorsport director and former team manager in Formula One and rally racing.
-
B.
Zambinella
Zambinella is a mysterious and androgynous opera singer in Honoré de Balzac’s novella "Sarrasine," whose true identity and gender play a central role in the story’s themes of art, desire, and illusion.
-
C.
Fiorenzo
Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
-
D.
Gemmano
Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
-
E.
Arielli
Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
- 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: Fabrini Triple: [Joe Fabrini, familyName, Fabrini]
Generated description
Fabrini is an Italian-origin surname most commonly associated with individuals of Italian heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabrini Target entity description: Fabrini is an Italian-origin surname most commonly associated with individuals of Italian heritage.
-
A.
Fiorio
Fiorio is an Italian surname most notably associated with Cesare Fiorio, a prominent motorsport director and former team manager in Formula One and rally racing.
-
B.
Zambinella
Zambinella is a mysterious and androgynous opera singer in Honoré de Balzac’s novella "Sarrasine," whose true identity and gender play a central role in the story’s themes of art, desire, and illusion.
-
C.
Fiorenzo
Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
-
D.
Gemmano
Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
-
E.
Arielli
Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5fc3e081909087414333b2615e |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175eefc8190a5178c0f70f7d79f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d23e8ac48190be1726c8e4913b1a |
completed | May 16, 2026, 8:23 p.m. |
Created at: April 16, 2026, 11:44 a.m.