Triple
T35080722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Aftermath |
E1012427
|
entity |
| Predicate | workOriginatesFrom |
P182502
|
FINISHED |
| Object | Beetlejuice (film score) |
—
|
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: Beetlejuice (film score) | Statement: [The Aftermath, workOriginatesFrom, Beetlejuice (film score)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOriginatesFrom Context triple: [The Aftermath, workOriginatesFrom, Beetlejuice (film score)]
-
A.
placeOfOriginOfWork
Indicates the location where a work (such as an artwork, literary piece, or other creation) was originally produced or created.
-
B.
associatedWorkCountryOfOrigin
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
C.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
D.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
-
E.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
- F. None of above. chosen
Provenance (4 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.