Triple
T10828141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambert |
E255544
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Lamberto |
E886878
|
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: Lamberto | Statement: [Lambert, hasCognate, Lamberto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamberto Context triple: [Lambert, hasCognate, Lamberto]
-
A.
Lamberto
chosen
Lamberto is an Italian given name, equivalent to Lambert, used primarily in Italian-speaking regions.
-
B.
Oberto
Oberto is a young boy character in Handel’s opera "Alcina," known for his quest to find his missing father on the enchantress’s island.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
-
E.
Martino
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d3eab88190b30a3025b6b2b0bc |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb1096cbc81908f3eda562c2da042 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.