Triple
T2173376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motion Picture Producers and Distributors of America |
E48472
|
entity |
| Predicate | presidentEnd |
P32135
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Motion Picture Producers and Distributors of America, presidentEnd, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentEnd Context triple: [Motion Picture Producers and Distributors of America, presidentEnd, 1945]
-
A.
endTimeOfPresidency
chosen
Indicates the specific time at which a person's term in the presidency concludes.
-
B.
endOfSecondPresidency
Indicates the point in time when an entity’s second term in a presidential office concludes.
-
C.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
D.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other entity.
-
E.
associatedPresident
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.