Triple
T15150222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Five Academy Awards |
E361918
|
entity |
| Predicate | firstCompleteSweepYear |
P117512
|
FINISHED |
| Object | 1935 |
—
|
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: 1935 | Statement: [Big Five Academy Awards, firstCompleteSweepYear, 1935]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompleteSweepYear Context triple: [Big Five Academy Awards, firstCompleteSweepYear, 1935]
-
A.
firstCompleterYear
Indicates the calendar or academic year in which an entity first completed a specified program, requirement, or activity.
-
B.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
C.
firstCaptureYear
Indicates the year in which an entity was first captured or recorded as captured.
-
D.
firstRecordedSurveyYear
Indicates the calendar year in which the survey was first conducted or recorded for the entity.
-
E.
firstAttemptYear
Indicates the year in which an entity made its first attempt at a particular activity, task, or objective.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.