Triple
T14373951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition Enzo Ferrari |
E356425
|
entity |
| Predicate | motif |
P2366
|
FINISHED |
| Object | Ferrari prancing horse logo |
E104281
|
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: Ferrari prancing horse logo | Statement: [Great Characters Edition Enzo Ferrari, motif, Ferrari prancing horse logo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrari prancing horse logo Context triple: [Great Characters Edition Enzo Ferrari, motif, Ferrari prancing horse logo]
-
A.
Ferrari
chosen
Ferrari is an Italian luxury sports car manufacturer renowned for its high-performance vehicles, racing heritage, and iconic prancing horse emblem.
-
B.
Ferrari
"Ferrari" is a popular Afropop song by Nigerian singer Yemi Alade, known for its catchy melody and lyrics about love and material commitment.
-
C.
Falcon logo
The Falcon logo is the iconic emblem of Gulf Air, symbolizing the airline’s Arabian heritage, speed, and prestige.
-
D.
Honda Logo
The Honda Logo is a subcompact hatchback produced by Honda in the late 1990s and early 2000s, known for its small size and urban-friendly design.
-
E.
Red Swoosh
Red Swoosh was a peer-to-peer content delivery and file-sharing startup later acquired by Akamai Technologies.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.