Triple
T8652144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odisea |
E205124
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | La Modelo |
E200813
|
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: La Modelo | Statement: [Odisea, hasTrack, La Modelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Modelo Context triple: [Odisea, hasTrack, La Modelo]
-
A.
La Modelo
chosen
"La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
-
B.
Marlene
Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
-
C.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
D.
Senorita
"Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
-
E.
Senorita
"Señorita" is a dark, atmospheric hip-hop track by Vince Staples known for its menacing production and commentary on violence and survival.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccd1d7f88190a5440581325eac63 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.