Triple
T2633120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motion Picture Patents Company |
E59679
|
entity |
| Predicate | decisiveCourtDecisionYear |
P2233
|
FINISHED |
| Object | 1915 |
—
|
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: 1915 | Statement: [Motion Picture Patents Company, decisiveCourtDecisionYear, 1915]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisiveCourtDecisionYear Context triple: [Motion Picture Patents Company, decisiveCourtDecisionYear, 1915]
-
A.
yearDecided
chosen
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
-
B.
wasOverturnedInYear
Indicates that a prior decision, ruling, or outcome was reversed or nullified in the specified year.
-
C.
chiefJusticeAtDecision
Indicates that the specified person was serving as the chief justice at the time a particular decision was made.
-
D.
decisionDate
Indicates the date on which a specific decision was formally made or finalized.
-
E.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.