Triple
T36060040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Jules |
E1043049
|
entity |
| Predicate | madWorldVersionUsedIn |
P184527
|
FINISHED |
| Object | Donnie Darko (2001 film) |
—
|
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: Donnie Darko (2001 film) | Statement: [Gary Jules, madWorldVersionUsedIn, Donnie Darko (2001 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madWorldVersionUsedIn Context triple: [Gary Jules, madWorldVersionUsedIn, Donnie Darko (2001 film)]
-
A.
hasRealWorldVersion
Indicates that something has a corresponding or equivalent version that exists in the real, physical world.
-
B.
realVersionConclusion
Indicates that something is identified as the definitive or finalized version of a conclusion, distinguishing it from drafts, alternatives, or provisional conclusions.
-
C.
liveVersionReleasedOn
Indicates the date or time when a live version of something (such as a product, feature, or content) is officially released or made available.
-
D.
romVersion
Indicates the specific ROM (Read-Only Memory) version associated with or used by an entity.
-
E.
isDubVersionOf
Indicates that one audiovisual work is a dubbed version of another, with its original audio replaced by a different language track while preserving the original content.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.