Triple
T20080657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tree of Blood |
E499989
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Mediapro |
—
|
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: Mediapro | Statement: [The Tree of Blood, productionCompany, Mediapro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mediapro Context triple: [The Tree of Blood, productionCompany, Mediapro]
-
A.
Mediapro
chosen
Mediapro is a Spanish multimedia communications group and film and television production company known for producing and co-producing international series, films, and sports broadcasting content.
-
B.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
-
C.
MaMaMedia
MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
-
D.
Media Factory
Media Factory is a creative and digital media hub at the University of Central Lancashire that provides specialized facilities and resources for media, arts, and design students and professionals.
-
E.
Telemedia
Telemedia was a Canadian media company that owned and operated radio stations and other broadcasting assets across the country.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66557c19c8190b511857490bbd423 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.