Triple
T7950849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Hill |
E184608
|
entity |
| Predicate | hasProductionCompanyOfWork |
P14415
|
FINISHED |
| Object | Big Dog Films |
E594166
|
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: Big Dog Films | Statement: [Marion Hill, hasProductionCompanyOfWork, Big Dog Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Dog Films Context triple: [Marion Hill, hasProductionCompanyOfWork, Big Dog Films]
-
A.
Big Dog Films
chosen
Big Dog Films is a film production company best known for producing the 1998 crime drama film "Belly."
-
B.
Big Dog Productions
Big Dog Productions is the television production company founded by comedian and host Jay Leno, known for producing his automotive series "Jay Leno’s Garage" and other Leno-related projects.
-
C.
Mad Dog Films
Mad Dog Films is a television production company best known for producing the sketch comedy series MADtv.
-
D.
Silverback Films
Silverback Films is a British production company renowned for creating high-end nature and wildlife documentaries, including major series for Netflix and the BBC.
-
E.
Big Bug Pictures
Big Bug Pictures is a film production company best known for its involvement in creating the science fiction action movie "Starship Troopers."
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe04872ec819090819899ed8dfc80 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.