Triple
T7113208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlboro |
E165752
|
entity |
| Predicate | bannedFromAdvertisingOn |
P72781
|
FINISHED |
| Object | television in many countries |
—
|
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: television in many countries | Statement: [Marlboro, bannedFromAdvertisingOn, television in many countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedFromAdvertisingOn Context triple: [Marlboro, bannedFromAdvertisingOn, television in many countries]
-
A.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
B.
bannedInCountry
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
C.
bannedInContextOf
chosen
Indicates that something is prohibited or not allowed specifically within a particular situation, setting, or scope.
-
D.
bannedAfter
Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
-
E.
advertisedUsing
Indicates that something is promoted or made known through a particular medium, method, or channel of advertising.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.