Triple
T3018062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinky |
E82384
|
entity |
| Predicate | censorshipControversy |
P42543
|
FINISHED |
| Object | challenged by segregationist groups in the American South |
—
|
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: challenged by segregationist groups in the American South | Statement: [Pinky, censorshipControversy, challenged by segregationist groups in the American South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipControversy Context triple: [Pinky, censorshipControversy, challenged by segregationist groups in the American South]
-
A.
censorshipReason
chosen
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
B.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
C.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
D.
roleInControversy
Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
-
E.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.