Triple
T5273114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patton (1970 film score) |
E119307
|
entity |
| Predicate | laterRelease |
P43428
|
FINISHED |
| Object | expanded soundtrack editions on CD |
—
|
LITERAL 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: expanded soundtrack editions on CD | Statement: [Patton (1970 film score), laterRelease, expanded soundtrack editions on CD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterRelease Context triple: [Patton (1970 film score), laterRelease, expanded soundtrack editions on CD]
-
A.
laterReleased
chosen
Indicates that one entity was released at a time chronologically after the release of another entity.
-
B.
laterVersion
Indicates that one entity is a subsequent or more recent version of another entity in a version sequence.
-
C.
laterDeployedIn
Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
-
D.
laterFeature
Indicates that one feature, event, or element occurs or is introduced after another in time.
-
E.
laterReleasedBy
Indicates that one entity was released at a later time than another entity by the same releasing agent or source.
- F. None of above.
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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.