Triple
T5551308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo |
E145530
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Renzo |
E33679
|
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: Renzo | Statement: [Lorenzo, hasDiminutive, Renzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renzo Context triple: [Lorenzo, hasDiminutive, Renzo]
-
A.
Renzo
chosen
Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
-
B.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
-
C.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
D.
Marcello
Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
E.
Camillo
Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097b96f708190a40b67e32e4b4b47 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:35 p.m.