Triple
T19397695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedian |
E485235
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Cinelandia |
—
|
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: Cinelandia | Statement: [The Comedian, productionCompany, Cinelandia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinelandia Context triple: [The Comedian, productionCompany, Cinelandia]
-
A.
Cinelândia
chosen
Cinelândia is a historic and culturally vibrant square in downtown Rio de Janeiro, Brazil, known for its theaters, cinemas, and early 20th-century architecture.
-
B.
Wonderful Land
"Wonderful Land" is a 1962 instrumental rock composition by the British group The Shadows, renowned for its melodic lead guitar and enduring popularity in the UK charts.
-
C.
Island of the Cows
Island of the Cows is a small French island whose name reflects a historical association with cattle or pasturage.
-
D.
Paraiso
Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
-
E.
Paraiso
Paraiso is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.