Triple
T20682983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neri |
E508342
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Marina Neri
Marina Neri is a notable individual recognized as a prominent bearer of the surname Neri.
|
E1444180
|
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: Marina Neri | Statement: [Neri, hasNotableBearer, Marina Neri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Neri Context triple: [Neri, hasNotableBearer, Marina Neri]
-
A.
Marina Sbisa
Marina Sbisa is an Italian philosopher and linguist known for her influential work in pragmatics and speech act theory.
-
B.
Marina Umaschi Bers
Marina Umaschi Bers is a professor and researcher known for her pioneering work in early childhood computer science education and the development of child-friendly programming tools like ScratchJr and KIBO.
-
C.
Marina Severa
Marina Severa was a Roman empress of the 4th century, known as the first wife of Emperor Valentinian I and the mother of Emperor Gratian.
-
D.
Marina Berti
Marina Berti was an Italian film and television actress known for her supporting roles in numerous historical and costume dramas from the 1940s through the 1970s.
-
E.
Marina Punat
Marina Punat is a well-known yacht marina and nautical tourism center located near the town of Punat on the island of Krk in Croatia.
- 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: Marina Neri Triple: [Neri, hasNotableBearer, Marina Neri]
Generated description
Marina Neri is a notable individual recognized as a prominent bearer of the surname Neri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marina Neri Target entity description: Marina Neri is a notable individual recognized as a prominent bearer of the surname Neri.
-
A.
Marina Sbisa
Marina Sbisa is an Italian philosopher and linguist known for her influential work in pragmatics and speech act theory.
-
B.
Marina Umaschi Bers
Marina Umaschi Bers is a professor and researcher known for her pioneering work in early childhood computer science education and the development of child-friendly programming tools like ScratchJr and KIBO.
-
C.
Marina Severa
Marina Severa was a Roman empress of the 4th century, known as the first wife of Emperor Valentinian I and the mother of Emperor Gratian.
-
D.
Marina Berti
Marina Berti was an Italian film and television actress known for her supporting roles in numerous historical and costume dramas from the 1940s through the 1970s.
-
E.
Marina Punat
Marina Punat is a well-known yacht marina and nautical tourism center located near the town of Punat on the island of Krk in Croatia.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:45 a.m.