Triple
T6635293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Mann |
E150432
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Keystone Studios |
E147987
|
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: Keystone Studios | Statement: [Hank Mann, employer, Keystone Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keystone Studios Context triple: [Hank Mann, employer, Keystone Studios]
-
A.
Keystone Studios
chosen
Keystone Studios was an early 20th-century American film studio famous for its slapstick comedies and for launching Charlie Chaplin’s screen career.
-
B.
Keystone Pictures
Keystone Pictures is a film production company best known for producing the family sports comedy movie "Air Bud."
-
C.
Skyline Studios
Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
-
D.
Annapurna Studios
Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
-
E.
Sky Studios
Sky Studios is the original programming and production arm of European broadcaster Sky, known for creating high-profile television series and films across drama, comedy, and other genres.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf71874819080cc89b6740b1567 |
completed | March 27, 2026, 6:27 p.m. |
Created at: March 27, 2026, 1:59 p.m.