Triple
T11660975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mummy Returns |
E277116
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Alphaville Films |
E852855
|
NE FINISHED |
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: Alphaville Films | Statement: [The Mummy Returns, productionCompany, Alphaville Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alphaville Films Context triple: [The Mummy Returns, productionCompany, Alphaville Films]
-
A.
Alphaville Films
chosen
Alphaville Films is a film production company known for producing major Hollywood action and adventure movies.
-
B.
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.
-
C.
Orsay Films
Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
-
D.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
E.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.