Triple
T19982420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babel (2006 film) |
E493847
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Zeta Film |
—
|
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: Zeta Film | Statement: [Babel (2006 film), productionCompany, Zeta Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeta Film Context triple: [Babel (2006 film), productionCompany, Zeta Film]
-
A.
Zeta Film
chosen
Zeta Film is a film production company known for collaborating with other studios such as Central Films on various cinematic projects.
-
B.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
C.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
D.
Aries Films
Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
-
E.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.