Triple
T2047776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hangover Part II |
E45492
|
entity |
| Predicate | productionCompany |
P490
|
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: [The Hangover Part II, productionCompany, Green Hat Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Hat Films Context triple: [The Hangover Part II, productionCompany, 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.
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.
-
C.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
D.
Goldcrest Films
Goldcrest Films is a British film production company best known for backing acclaimed films such as the Oscar-winning "Chariots of Fire."
-
E.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb974e8488190887b840c2cb88b3a |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2003e9488190b54ff042c91d4a62 |
completed | March 9, 2026, 1:19 a.m. |
Created at: March 4, 2026, 7:39 p.m.