Triple
T8156236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living (2022 film) |
E190455
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Number 9 Films |
E257835
|
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: Number 9 Films | Statement: [Living (2022 film), productionCompany, Number 9 Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number 9 Films Context triple: [Living (2022 film), productionCompany, Number 9 Films]
-
A.
Number 9 Films
chosen
Number 9 Films is a British film production company known for producing acclaimed independent and arthouse films.
-
B.
Riama Film
Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
E.
Piki Films
Piki Films is a New Zealand-based film and television production company known for backing distinctive, often offbeat projects such as Taika Waititi’s Oscar-winning film "Jojo Rabbit."
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d8a37481909397b5cc321b94be |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced43a5448190b2600cbdbabf9d31 |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:37 p.m.