Triple
T3859667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of New York |
E90103
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Carolco Pictures |
E296913
|
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: Carolco Pictures | Statement: [King of New York, distributor, Carolco Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolco Pictures Context triple: [King of New York, distributor, Carolco Pictures]
-
A.
Carolco Pictures
chosen
Carolco Pictures was an American independent film production company best known for big-budget action movies in the 1980s and early 1990s, including the Rambo and Terminator franchises.
-
B.
Cinergi Pictures
Cinergi Pictures was an independent American film production company active in the 1990s, known for producing big-budget Hollywood films across various genres.
-
C.
Capstone Pictures
Capstone Pictures is a film production company best known for producing the crime thriller "Lucky Number Slevin."
-
D.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
-
E.
Monumental Pictures
Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50424b23c8190b888cfb79e26e758 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.