Triple
T27451353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Susan Boreman |
E692449
|
entity |
| Predicate | laterActivityPeriod |
P38710
|
FINISHED |
| Object | 1980s anti-pornography activism |
—
|
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: 1980s anti-pornography activism | Statement: [Linda Susan Boreman, laterActivityPeriod, 1980s anti-pornography activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterActivityPeriod Context triple: [Linda Susan Boreman, laterActivityPeriod, 1980s anti-pornography activism]
-
A.
laterActivity
chosen
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
B.
laterWorkPeriod
Indicates that one work period occurs after another in time.
-
C.
laterDuration
Indicates that one event or time interval occurs after another and lasts for a specified duration.
-
D.
laterIn
Indicates that one event, state, or time point occurs after another in temporal order.
-
E.
laterWithin
Indicates that one event or time point occurs later than another while still falling within a specified temporal interval or boundary.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 12:47 p.m.