Triple
T20007409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velvet |
E494493
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Bambú Producciones |
—
|
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: Bambú Producciones | Statement: [Velvet, productionCompany, Bambú Producciones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bambú Producciones Context triple: [Velvet, productionCompany, Bambú Producciones]
-
A.
Bambú Producciones
chosen
Bambú Producciones is a Spanish television production company known for creating popular series such as "High Seas," "Gran Hotel," and "Velvet."
-
B.
Iguana Producciones
Iguana Producciones is a film and television production company known for producing the acclaimed Mexican horror film "Cronos" directed by Guillermo del Toro.
-
C.
Malpaso Productions
Malpaso Productions is Clint Eastwood’s film production company, known for producing many of his acclaimed movies across several decades.
-
D.
Pol-ka Producciones
Pol-ka Producciones is a prominent Argentine television and film production company known for creating popular telenovelas, series, and movies.
-
E.
Artikulo Uno Productions
Artikulo Uno Productions is a Filipino film production company known for producing critically acclaimed historical and socially relevant movies.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.