Triple
T22670317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket to Russia |
E559900
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | Ramona |
E497057
|
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: Ramona | Statement: [Rocket to Russia, includesTrack, Ramona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramona Context triple: [Rocket to Russia, includesTrack, Ramona]
-
A.
Ramona
Ramona is a feminine given name of Spanish origin that has been used internationally in literature, film, and popular culture.
-
B.
Ramona
chosen
"Ramona" is a song by the American punk rock band Ramones, featured on their 1977 album *Rocket to Russia*.
-
C.
Ramona
Ramona is a rural unincorporated community in San Diego County, California, known for its small-town character, wineries, and surrounding foothill landscapes.
-
D.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
E.
Soledad
"Soledad" is a reggaeton song by Puerto Rican artist Don Omar, known for its emotive lyrics and romantic, melancholic style.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73eb35c4819083a5de1f2979b521 |
completed | May 18, 2026, 8:17 p.m. |
Created at: April 17, 2026, 3:10 p.m.