Triple
T21634167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivarium |
E533910
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Fantastic Films |
—
|
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: Fantastic Films | Statement: [Vivarium, productionCompany, Fantastic Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fantastic Films Context triple: [Vivarium, productionCompany, Fantastic Films]
-
A.
Fantastic Films
chosen
Fantastic Films is a film production company known for developing and producing genre movies, including science fiction and horror titles.
-
B.
Wonderful Films
Wonderful Films is a film and television production company best known for its work on the acclaimed Netflix miniseries "The Queen's Gambit."
-
C.
Superlative Films
Superlative Films is an independent film production and distribution company known for supporting arthouse and character-driven cinema.
-
D.
Ten Films
Ten Films is a film production company known for producing the movie "Samba."
-
E.
Film Classics
Film Classics was an American film distribution company active in the mid-20th century, known for handling reissues and independent productions outside the major studio system.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.