Triple
T22678209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libre Baskerville |
E560404
|
entity |
| Predicate | foundry |
P5125
|
FINISHED |
| Object |
Impallari Type
Impallari Type is an independent type foundry known for creating and releasing high-quality open-source fonts, particularly popular in web and digital design.
|
E1549034
|
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: Impallari Type | Statement: [Libre Baskerville, foundry, Impallari Type]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Impallari Type Context triple: [Libre Baskerville, foundry, Impallari Type]
-
A.
Fancelli
Fancelli is an Italian surname associated with figures such as Renaissance sculptor Domenico Fancelli.
-
B.
Marinelli
Marinelli is a manipulative courtier and the prince’s scheming advisor in Gotthold Ephraim Lessing’s tragedy "Emilia Galotti."
-
C.
Tamburini
Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
-
D.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
-
E.
Carbonelli
Carbonelli is a surname of likely Italian origin, used as a variant form of the name Carbonell.
- 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: Impallari Type Triple: [Libre Baskerville, foundry, Impallari Type]
Generated description
Impallari Type is an independent type foundry known for creating and releasing high-quality open-source fonts, particularly popular in web and digital design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Impallari Type Target entity description: Impallari Type is an independent type foundry known for creating and releasing high-quality open-source fonts, particularly popular in web and digital design.
-
A.
Fancelli
Fancelli is an Italian surname associated with figures such as Renaissance sculptor Domenico Fancelli.
-
B.
Marinelli
Marinelli is a manipulative courtier and the prince’s scheming advisor in Gotthold Ephraim Lessing’s tragedy "Emilia Galotti."
-
C.
Tamburini
Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
-
D.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
-
E.
Carbonelli
Carbonelli is a surname of likely Italian origin, used as a variant form of the name Carbonell.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f115cc819085e82dfa9f32ffa8 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b752363a48190af3733c8ca995c25 |
completed | May 18, 2026, 8:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7601fda88190bbfa04e7eb240f65 |
completed | May 18, 2026, 8:26 p.m. |
Created at: April 17, 2026, 3:11 p.m.