Triple
T17645866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifeforce |
E429355
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Cannon 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: Cannon Films | Statement: [Lifeforce, productionCompany, Cannon Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cannon Films Context triple: [Lifeforce, productionCompany, Cannon Films]
-
A.
Cannon Films
chosen
Cannon Films was a prolific independent film production and distribution company best known for its low- to mid-budget action movies and cult classics during the 1980s.
-
B.
Cannon Productions
Cannon Productions is a music record label known for releasing work by reggae artist Tarrus Riley.
-
C.
Cascade Films
Cascade Films is a film production company known for developing and producing independent feature films.
-
D.
Carnival Films
Carnival Films is a British television and film production company best known internationally for creating the period drama series "Downton Abbey."
-
E.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e382ba88190af19d0e3b8c8cadd |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.