Triple
T8791675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole |
E209179
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Caro |
E274254
|
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: Caro | Statement: [Carole, hasDiminutiveForm, Caro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caro Context triple: [Carole, hasDiminutiveForm, Caro]
-
A.
Caro
chosen
Caro is a surname most prominently associated with Robert A. Caro, the Pulitzer Prize–winning American biographer and journalist known for his exhaustive political biographies.
-
B.
Caro mio ben
"Caro mio ben" is a beloved classical Italian art song, often performed by vocalists for its expressive melody and emotional depth.
-
C.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
D.
Carriera
Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
-
E.
CARL
CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8e6e4881909155c40c52bc082c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5220af84819095ddefd84fd9f369 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.