Triple
T29529829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvino |
E749166
|
entity |
| Predicate | laterForgives |
P151004
|
FINISHED |
| Object | Amina |
—
|
NE NERFINISHED |
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: Amina | Statement: [Elvino, laterForgives, Amina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterForgives Context triple: [Elvino, laterForgives, Amina]
-
A.
forgivenessAfter
chosen
Indicates that one entity grants or experiences forgiveness following a prior action, event, or offense involving another entity.
-
B.
forgave
Indicates that one entity has chosen to release resentment or cancel a grievance, offense, or debt owed by another entity.
-
C.
forgivenessAvailableAfter
Indicates that the opportunity or condition for granting forgiveness becomes possible only after a specified time, event, or prerequisite has occurred.
-
D.
forgivenessType
Indicates the specific kind or category of forgiveness that characterizes the relationship or action between entities.
-
E.
believesHeIsForgivenFor
Indicates that one entity holds the conviction that he has been forgiven by another entity for some wrongdoing or offense.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 4:51 p.m.