Triple
T22708331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dozin’ at the Knick |
E561520
|
entity |
| Predicate | featuresPeriod |
P84777
|
FINISHED |
| Object | later era of the Grateful Dead |
—
|
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: later era of the Grateful Dead | Statement: [Dozin’ at the Knick, featuresPeriod, later era of the Grateful Dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPeriod Context triple: [Dozin’ at the Knick, featuresPeriod, later era of the Grateful Dead]
-
A.
featuresTimeline
Indicates that something presents or includes a chronological sequence of events or developments.
-
B.
includesPeriodFeature
chosen
Indicates that something contains or incorporates a specific period-related feature as part of its characteristics or structure.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
-
E.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d11d4081909981872698b6c45e |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.