Triple
T12972230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Budnick |
E321427
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Green Hat Films |
E223068
|
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: Green Hat Films | Statement: [Scott Budnick, employer, Green Hat Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Hat Films Context triple: [Scott Budnick, employer, Green Hat Films]
-
A.
Green Hat Films
chosen
Green Hat Films is a film production company best known for producing the hit comedy movie "The Hangover."
-
B.
Greenpoint Films
Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
-
C.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
-
D.
WingNut Films
WingNut Films is a New Zealand-based film production company founded by Peter Jackson, best known for producing large-scale fantasy and adventure films including The Lord of the Rings trilogy.
-
E.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:36 p.m.