Triple
T19416324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for The Sundowners |
E485725
|
entity |
| Predicate | performanceInYear |
P69183
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Academy Award for Best Supporting Actress for The Sundowners, performanceInYear, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceInYear Context triple: [Academy Award for Best Supporting Actress for The Sundowners, performanceInYear, 1960]
-
A.
finalPerformanceYear
Indicates the year in which an entity’s performance or activity is recorded or recognized for the last time.
-
B.
yearOfPerformance
chosen
Indicates the specific calendar year in which a performance, event, or action took place.
-
C.
performanceSeason
Indicates the time period or season during which a performance, show, or production is scheduled or takes place.
-
D.
performanceWith
Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
-
E.
activeInYear
Indicates that an entity was active, functioning, or operational during a specified year.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af9c8fc81909860de10b6720207 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.