Triple
T22706751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martino Longhi the Elder |
E561475
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Longhi
Longhi is an Italian family name historically associated with notable architects and artists, including members of the Longhi family such as Martino Longhi the Elder.
|
E1563344
|
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: Longhi | Statement: [Martino Longhi the Elder, familyName, Longhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longhi Context triple: [Martino Longhi the Elder, familyName, Longhi]
-
A.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
B.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
C.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
D.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
E.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
- 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: Longhi Triple: [Martino Longhi the Elder, familyName, Longhi]
Generated description
Longhi is an Italian family name historically associated with notable architects and artists, including members of the Longhi family such as Martino Longhi the Elder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longhi Target entity description: Longhi is an Italian family name historically associated with notable architects and artists, including members of the Longhi family such as Martino Longhi the Elder.
-
A.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
B.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
C.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
D.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
E.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ceba6c8190a538366a8e4648de |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9ff91a48190b7624101a8bcba09 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcba2bcac8190a730b46d7f6ca04a |
completed | May 19, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcc033e7481908a5447dcb888828a |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:17 p.m.