Triple
T22948747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show Me Love |
E569946
|
entity |
| Predicate | featuresInMusicVideo |
P3289
|
FINISHED |
| Object | Marco Perego Saldana |
—
|
NE NERFINISHED |
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: Marco Perego Saldana | Statement: [Show Me Love, featuresInMusicVideo, Marco Perego Saldana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Perego Saldana Context triple: [Show Me Love, featuresInMusicVideo, Marco Perego Saldana]
-
A.
Marco Perego-Saldaña
chosen
Marco Perego-Saldaña is an Italian artist and former professional soccer player who is married to actress Zoe Saldaña.
-
B.
Sergio De La Pava
Sergio De La Pava is an American novelist and public defender best known for his ambitious, genre-blending debut novel "A Naked Singularity."
-
C.
Antonio Medrano
Antonio Medrano was an architect known for his work on the Royal Palace of Portici in Italy.
-
D.
Alejandro Hernández
Alejandro Hernández is an actor known for his role in the film "The Maldonado Miracle," a drama directed by Salma Hayek.
-
E.
Alexander Sánchez
Alexander Sánchez is known as a son of the acclaimed Spanish singer-songwriter Alejandro Sanz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.