Triple
T38414747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One to One |
E901572
|
entity |
| Predicate | hasMaturePhase |
P204644
|
FINISHED |
| Object | marks more introspective songwriting for Howard Jones |
—
|
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: marks more introspective songwriting for Howard Jones | Statement: [One to One, hasMaturePhase, marks more introspective songwriting for Howard Jones]
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 (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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.