Triple
T6279511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Color Purple |
E140744
|
entity |
| Predicate | bannedOrChallengedIn |
P43036
|
FINISHED |
| Object | United States schools |
—
|
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: United States schools | Statement: [The Color Purple, bannedOrChallengedIn, United States schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedOrChallengedIn Context triple: [The Color Purple, bannedOrChallengedIn, United States schools]
-
A.
bannedInCountry
chosen
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
B.
suppressedInCountry
Indicates that an entity (such as content, activity, or information) is restricted, censored, or otherwise prevented from being available or expressed within a specified country.
-
C.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
D.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
-
E.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.