Triple
T12481563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carreras |
E298318
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Carreras |
E298318
|
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: Carreras | Statement: [Carreras, hasPluralForm, Carreras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carreras Context triple: [Carreras, hasPluralForm, Carreras]
-
A.
Carreras
chosen
Carreras is a Spanish surname most famously associated with José Carreras, the renowned operatic tenor and member of The Three Tenors.
-
B.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
-
C.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
-
D.
Carrera
Carrera is a model designation used by Porsche for high-performance variants of its 911 sports car, known for their speed, handling, and iconic design.
-
E.
Carriera
Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba5efc881909784037b95f7bbe3 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.