Triple
T32820378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild in the Streets |
E839418
|
entity |
| Predicate | portraysFictionalEvent |
P6686
|
FINISHED |
| Object | lowering of voting age to 14 |
—
|
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: lowering of voting age to 14 | Statement: [Wild in the Streets, portraysFictionalEvent, lowering of voting age to 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFictionalEvent Context triple: [Wild in the Streets, portraysFictionalEvent, lowering of voting age to 14]
-
A.
portraysFictionalized
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
B.
capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
-
C.
associatedWithFictionalEvent
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
D.
hasFictionalEventType
Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
-
E.
portraysEvent
chosen
Indicates that one entity depicts, represents, or illustrates a particular event.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: May 1, 2026, 1:15 a.m.