Triple
T14736520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciriaco Mattei |
E346223
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mattei
Mattei is an Italian surname historically associated with several prominent families and figures in Italy.
|
E1117803
|
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: Mattei | Statement: [Ciriaco Mattei, familyName, Mattei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattei Context triple: [Ciriaco Mattei, familyName, Mattei]
-
A.
Emanuele
Emanuele is an Italian given name, equivalent to Emmanuel, commonly used for males in Italian-speaking regions.
-
B.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
-
C.
Raimondo
Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Géminiani
Géminiani is a French surname most notably associated with Raphaël Géminiani, a prominent mid-20th-century professional road cyclist and Tour de France contender.
- 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: Mattei Triple: [Ciriaco Mattei, familyName, Mattei]
Generated description
Mattei is an Italian surname historically associated with several prominent families and figures in Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mattei Target entity description: Mattei is an Italian surname historically associated with several prominent families and figures in Italy.
-
A.
Emanuele
Emanuele is an Italian given name, equivalent to Emmanuel, commonly used for males in Italian-speaking regions.
-
B.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
-
C.
Raimondo
Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Géminiani
Géminiani is a French surname most notably associated with Raphaël Géminiani, a prominent mid-20th-century professional road cyclist and Tour de France contender.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8e0d488190851d73b75ba4c0a6 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fe0091cea48190a473f8602b05fe7c |
completed | May 8, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe010ab2b88190a1099ebba77d4d8b |
completed | May 8, 2026, 3:28 p.m. |
Created at: April 10, 2026, 1:29 a.m.