Triple
T21029063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Κάδμος |
E518016
|
entity |
| Predicate | penance |
P142535
|
FINISHED |
| Object | served Ares for eight years |
—
|
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: served Ares for eight years | Statement: [Κάδμος, penance, served Ares for eight years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penance Context triple: [Κάδμος, penance, served Ares for eight years]
-
A.
performedPenanceAt
Indicates that an entity carried out an act of penance at a specific place or location.
-
B.
repentsFor
Indicates that one entity feels remorse or regret for an action, wrongdoing, or harm related to another entity.
-
C.
contritionType
Indicates the specific kind or category of contrition (remorse or repentance) associated with an action or state.
-
D.
repentedIn
Indicates that an entity has expressed remorse or regret for its actions within a particular context, time, or situation.
-
E.
demandedAtonementFrom
Indicates that one entity required another to make amends or provide compensation for a perceived wrong or offense.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.