Triple
T2151149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston |
E47182
|
entity |
| Predicate | advertisingEra |
P561
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Winston, advertisingEra, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertisingEra Context triple: [Winston, advertisingEra, mid-20th century]
-
A.
advertisingHistory
Indicates a relationship where one entity records or reflects the past advertising activities, campaigns, or promotional interactions associated with another entity.
-
B.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
C.
notableEra
chosen
Indicates the historical period or era for which an entity is especially recognized or significant.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.