Triple
T14955584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Carlin's "Seven Dirty Words" monologue |
E372915
|
entity |
| Predicate | timePeriodOfLegalCase |
P81432
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [George Carlin's "Seven Dirty Words" monologue, timePeriodOfLegalCase, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfLegalCase Context triple: [George Carlin's "Seven Dirty Words" monologue, timePeriodOfLegalCase, 1970s]
-
A.
timePeriodOfLitigation
chosen
Indicates the span of time during which a particular litigation or legal case is active or takes place.
-
B.
jurisdictionPeriod
Indicates the time span during which a particular authority or entity holds legal or official jurisdiction over something.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
statuteOfLimitations
Indicates that there is a legally defined time limit within which a claim, charge, or legal action related to an event must be initiated.
-
E.
typicalCourtLength
Indicates the standard or commonly observed length associated with a court (such as a sports court or legal jurisdiction) in typical conditions.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.