Triple
T9165803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Jorge Wilstermann |
E219952
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rojo |
E347396
|
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: Rojo | Statement: [Club Jorge Wilstermann, nickname, Rojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rojo Context triple: [Club Jorge Wilstermann, nickname, Rojo]
-
A.
Rojo
chosen
Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
-
B.
Rojo
"Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
-
C.
Rosso
Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
-
D.
Rosse
Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
-
E.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa3055048190870211449c78fc4e |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05484c2688190a5c64b5b54bedbb5 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:22 p.m.