Triple
T15419476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessy Terrero |
E369334
|
entity |
| Predicate | directedMusicVideoFor |
P4911
|
FINISHED |
| Object | Maluma |
E252637
|
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: Maluma | Statement: [Jessy Terrero, directedMusicVideoFor, Maluma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maluma Context triple: [Jessy Terrero, directedMusicVideoFor, Maluma]
-
A.
Maluma
chosen
Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
-
B.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
C.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
D.
Mala
Mala is a character in Jhumpa Lahiri’s short story "The Third and Final Continent," portrayed as the narrator’s arranged-marriage wife who gradually builds a tender, companionate relationship with him as they adapt to life in America.
-
E.
Maloy
Maloy is a small unincorporated rural community located in Ringgold County, Iowa.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.