Triple
T38414747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One to One |
E901572
|
entity |
| Predicate | hasMaturePhase |
—
|
GENERATED |
| Object | marks more introspective songwriting for Howard Jones |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaturePhase Context triple: [One to One, hasMaturePhase, marks more introspective songwriting for Howard Jones]
-
A.
hasMaturity
Indicates that an entity possesses a specified level, state, or stage of development or maturity.
-
B.
hasMaturityType
Indicates that an entity is associated with a specific type or category of maturity it possesses or reaches.
-
C.
hasMaturityDate
Indicates the date on which an obligation, instrument, or agreement is scheduled to become due or reach the end of its term.
-
D.
hasEarlierPhase
Indicates that one phase occurs before another phase in a process or sequence.
-
E.
hasMultiplePhases
Indicates that the related process, event, or activity occurs in more than one distinct phase or stage.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.