Triple
T15191108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for In America |
E363010
|
entity |
| Predicate | associatedYearOfPerformance |
P69183
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Academy Award for Best Supporting Actor for In America, associatedYearOfPerformance, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedYearOfPerformance Context triple: [Academy Award for Best Supporting Actor for In America, associatedYearOfPerformance, 2002]
-
A.
yearOfPerformance
chosen
Indicates the specific calendar year in which a performance, event, or action took place.
-
B.
finalPerformanceYear
Indicates the year in which an entity’s performance or activity is recorded or recognized for the last time.
-
C.
yearOfExecution
Indicates the specific calendar year in which an execution (such as a legal, contractual, or procedural act) took place.
-
D.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
E.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.