Triple
T17658697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Loos |
E440190
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Triangle Film Corporation |
—
|
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: Triangle Film Corporation | Statement: [Anita Loos, employer, Triangle Film Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triangle Film Corporation Context triple: [Anita Loos, employer, Triangle Film Corporation]
-
A.
Triangle Film Corporation
chosen
Triangle Film Corporation was an early 20th-century American motion picture studio known for producing silent films during the 1910s.
-
B.
World Film Company
World Film Company was an early 20th-century American motion picture distribution and production company active during the silent film era.
-
C.
Aurora Film Corporation
Aurora Film Corporation is an Indian film distribution and production company known for handling notable Bengali and Indian cinema releases.
-
D.
York Pictures Corporation
York Pictures Corporation is a film production company best known for producing the 1958 romantic comedy "Houseboat."
-
E.
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.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea469448190b2753571f8493aef |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:37 a.m.