Triple
T19900024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Legend of Hell House |
E478258
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Academy Pictures |
—
|
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: Academy Pictures | Statement: [The Legend of Hell House, producer, Academy Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Pictures Context triple: [The Legend of Hell House, producer, Academy Pictures]
-
A.
Academy Pictures
chosen
Academy Pictures is a film production company best known for producing the 1973 British horror film "The Legend of Hell House."
-
B.
Palace Pictures
Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
-
C.
Astor Pictures
Astor Pictures was an American film distribution company known for handling low-budget and independent movies, particularly in the mid-20th century.
-
D.
Monarch Pictures
Monarch Pictures is a film production company known for producing feature films such as the thriller "Copycat."
-
E.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65940cf8c8190b74e51635410e48a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.