Triple
T14046855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Times, Bad Times... Ten Years of Godsmack |
E337977
|
entity |
| Predicate | spansPeriod |
P4343
|
FINISHED |
| Object | first decade of Godsmack's recorded work |
—
|
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: first decade of Godsmack's recorded work | Statement: [Good Times, Bad Times... Ten Years of Godsmack, spansPeriod, first decade of Godsmack's recorded work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansPeriod Context triple: [Good Times, Bad Times... Ten Years of Godsmack, spansPeriod, first decade of Godsmack's recorded work]
-
A.
timeSpanIncludes
Indicates that one time span fully contains or covers the entire duration of another time span.
-
B.
hasPeriodRange
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
C.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
D.
coversPeriodStart
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
-
E.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.