Triple
T10577379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samvatsari |
E249644
|
entity |
| Predicate | scopeOfForgiveness |
P94731
|
FINISHED |
| Object | family members |
—
|
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: family members | Statement: [Samvatsari, scopeOfForgiveness, family members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfForgiveness Context triple: [Samvatsari, scopeOfForgiveness, family members]
-
A.
forgave
Indicates that one entity has chosen to release resentment or cancel a grievance, offense, or debt owed by another entity.
-
B.
seeksRedemption
Indicates that an entity is actively striving to atone for past wrongs or failures and restore its moral standing.
-
C.
repentedTo
Indicates that one entity expressed remorse or sought forgiveness directly from another entity.
-
D.
regardsSufferingAs
Indicates how an entity perceives, evaluates, or emotionally responds to the suffering of another entity.
-
E.
mercyRule
Indicates that a game is ended early because one side has achieved a lead so large that continuing is deemed unnecessary or unsporting.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52756ff1c8190a85022748ca58ba5 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.