Triple
T21811709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goya en Burdeos |
E538489
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Lolafilms |
—
|
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: Lolafilms | Statement: [Goya en Burdeos, productionCompany, Lolafilms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolafilms Context triple: [Goya en Burdeos, productionCompany, Lolafilms]
-
A.
Lolafilms
chosen
Lolafilms is a Spanish film production company known for backing prominent Spanish-language cinema, including acclaimed features from the 1990s and 2000s.
-
B.
Subafilms
Subafilms was a film production company associated with The Beatles, involved in producing several of their cinematic projects during the 1960s.
-
C.
Dohafilms
Dohafilms is a film production company known for helping produce the 2014 animated adaptation of Kahlil Gibran’s "The Prophet."
-
D.
Jolly Film
Jolly Film is an Italian film production company best known for backing Sergio Leone’s influential Spaghetti Westerns, including the Dollars Trilogy.
-
E.
Lolol
Lolol is a small rural town and municipality in Chile’s Colchagua Province, known for its well-preserved colonial architecture and traditional Chilean culture.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.