Triple
T10714920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maluma |
E252637
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Juan Luis |
E485516
|
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: Juan Luis | Statement: [Maluma, givenName, Juan Luis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Luis Context triple: [Maluma, givenName, Juan Luis]
-
A.
Juan Luis
chosen
Juan Luis is a Spanish given name commonly used in Hispanic countries, often associated with notable figures in religion, arts, and public life.
-
B.
Pedro del Rey
Pedro del Rey is a film editor best known for his work on Luis Buñuel’s acclaimed 1961 film "Viridiana."
-
C.
Juan Antonio
Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
-
D.
Juan Antonio
Juan Antonio is a Spanish film director best known for works such as "The Orphanage," "The Impossible," and "A Monster Calls."
-
E.
Juan María de Salvatierra
Juan María de Salvatierra was a Spanish Jesuit missionary and explorer known for leading early missionary efforts in Baja California and helping establish some of the first permanent European settlements there.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff324d1881908b7cdf4ac208125f |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd9df306881908aef5c6e8b4e78dc |
completed | April 12, 2026, 5:43 p.m. |
Created at: April 8, 2026, 9:13 p.m.