Triple
T13361354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Birth |
E318825
|
entity |
| Predicate | marksStylisticShiftToward |
P34686
|
FINISHED |
| Object | greater clarity |
—
|
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: greater clarity | Statement: [Second Birth, marksStylisticShiftToward, greater clarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksStylisticShiftToward Context triple: [Second Birth, marksStylisticShiftToward, greater clarity]
-
A.
marksStylisticShiftFrom
Indicates that one element signals a change in style, tone, or manner relative to another element.
-
B.
marksShiftToward
chosen
Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
-
C.
stylisticFocus
Indicates a relationship where something is primarily concerned with, emphasizes, or is characterized by a particular style or set of stylistic features.
-
D.
stylisticRange
Indicates the range or spectrum of styles that characterize or can be applied to something.
-
E.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da6289edf4819099b21cfbb668e923 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.