Triple
T6520514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carsey-Werner Company |
E148366
|
entity |
| Predicate | notableSeriesEra |
P71381
|
FINISHED |
| Object | 1980s |
—
|
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 | Statement: [Carsey-Werner Company, notableSeriesEra, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesEra Context triple: [Carsey-Werner Company, notableSeriesEra, 1980s]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
notableEraStart
Indicates the point in time when a notable or historically significant era associated with an entity begins.
-
C.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
E.
notablePlatformEra
Indicates that an entity is notably associated with a particular platform during a specific era or period of prominence.
- F. None of above. chosen
Provenance (4 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad92c624819086dbb12b4f6b78d3 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.