Triple
T17082900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evenus |
E414517
|
entity |
| Predicate | reactionToAbductionOfDaughter |
P125814
|
FINISHED |
| Object | pursued Idas |
—
|
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: pursued Idas | Statement: [Evenus, reactionToAbductionOfDaughter, pursued Idas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToAbductionOfDaughter Context triple: [Evenus, reactionToAbductionOfDaughter, pursued Idas]
-
A.
featuresChildAbduction
Indicates that an event, situation, or narrative involves the abduction or kidnapping of a child as a central or notable element.
-
B.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
C.
abductedBy
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
D.
wasKidnapped
Indicates that an entity was forcibly taken and held against their will by another entity.
-
E.
countryOfAbduction
Indicates the country in which the abduction of the referenced entity took place.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe4d3908190b23ce3c2d3fe7d14 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.