Triple
T7072732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martino Prada |
E164737
|
entity |
| Predicate | hasDescendants |
P17517
|
FINISHED |
| Object | Prada family |
E164737
|
NE FINISHED |
How this triple was built (2 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: Prada family | Statement: [Martino Prada, hasDescendants, Prada family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prada family Context triple: [Martino Prada, hasDescendants, Prada family]
-
A.
Agnelli family
The Agnelli family is a powerful Italian dynasty best known for controlling Fiat (now part of Stellantis) and exerting long-term influence over Italian industry, finance, and football.
-
B.
Boncompagni family
The Boncompagni family is an Italian noble dynasty, notably influential in papal politics and regional rule during the Renaissance and early modern periods.
-
C.
Bettencourt family
The Bettencourt family is a French billionaire dynasty best known as the founding family and principal heirs of the L'Oréal cosmetics empire.
-
D.
Martino Prada
chosen
Martino Prada was the original founder of the Italian luxury fashion house Prada, which later became globally renowned under his descendants.
-
E.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7945fdafc81909c265373627af4e8 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:39 p.m.