Triple
T16294528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Sainz |
E395612
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sainz |
E395612
|
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: Sainz | Statement: [Carlos Sainz, familyName, Sainz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainz Context triple: [Carlos Sainz, familyName, Sainz]
-
A.
Carlos Sainz
chosen
Carlos Sainz is a legendary Spanish rally driver and two-time World Rally Champion renowned for his success with multiple manufacturers and his longevity in top-level motorsport.
-
B.
Ricciardo
Ricciardo is an Italian given name, historically borne by figures such as Ricciardo Cervini.
-
C.
Sergio Pérez
Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
-
D.
Pierre Gasly
Pierre Gasly is a French Formula 1 racing driver known for his Grand Prix victory and strong performances with teams such as Scuderia AlphaTauri.
-
E.
Leclerc
Leclerc is the commonly used name for Philippe Leclerc de Hauteclocque, a renowned French general and key Free French commander during World War II.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2c255881909d99c43770475329 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fd56008190a9cb896e7ea2d26a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.