Triple
T6393271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dictys |
E143878
|
entity |
| Predicate | rewardReason |
P31175
|
FINISHED |
| Object | hospitality toward Danaë and Perseus |
—
|
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: hospitality toward Danaë and Perseus | Statement: [Dictys, rewardReason, hospitality toward Danaë and Perseus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardReason Context triple: [Dictys, rewardReason, hospitality toward Danaë and Perseus]
-
A.
specialAwardReason
Indicates the specific reason or justification for which a special award is given to an entity.
-
B.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
-
C.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
D.
rewardFulfilledFor
Indicates that a previously promised or expected reward has been delivered or satisfied for a particular entity.
-
E.
grantedAsRewardFor
chosen
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687f5c6c81909c835329c996b311 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.