Triple
T2007317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carabinieri |
E43614
|
entity |
| Predicate | hasRank |
P337
|
FINISHED |
| Object |
Appuntato
Appuntato is a non-commissioned officer rank within the Italian Carabinieri, roughly equivalent to a senior corporal.
|
E224373
|
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: Appuntato | Statement: [Carabinieri, hasRank, Appuntato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Appuntato Context triple: [Carabinieri, hasRank, Appuntato]
-
A.
Mr. Papers
Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
-
B.
Scoop
Scoop is a satirical novel by Evelyn Waugh that lampoons sensationalist journalism and foreign correspondence.
-
C.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
D.
De oratore
De oratore is a philosophical dialogue by the Roman statesman Cicero that explores the theory and practice of rhetoric and ideal oratory.
-
E.
The Autograph Man
The Autograph Man is a novel by Zadie Smith that satirically explores celebrity culture, identity, and obsession through the life of a professional autograph collector in contemporary London.
- 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: Appuntato Triple: [Carabinieri, hasRank, Appuntato]
Generated description
Appuntato is a non-commissioned officer rank within the Italian Carabinieri, roughly equivalent to a senior corporal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Appuntato Target entity description: Appuntato is a non-commissioned officer rank within the Italian Carabinieri, roughly equivalent to a senior corporal.
-
A.
Mr. Papers
Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
-
B.
Scoop
Scoop is a satirical novel by Evelyn Waugh that lampoons sensationalist journalism and foreign correspondence.
-
C.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
D.
De oratore
De oratore is a philosophical dialogue by the Roman statesman Cicero that explores the theory and practice of rhetoric and ideal oratory.
-
E.
The Autograph Man
The Autograph Man is a novel by Zadie Smith that satirically explores celebrity culture, identity, and obsession through the life of a professional autograph collector in contemporary London.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8999e108190a07daa01452a5dab |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae12d708190bcfe91e3ab53f04e |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b63b85c819096fc8ad12ace4d22 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0bc55fcc8190bf117ef1328b8a76 |
completed | March 8, 2026, 11:52 p.m. |
Created at: March 4, 2026, 7:37 p.m.