Triple
T21029111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ινώ |
E518017
|
entity |
| Predicate | drivesToMadness |
P63280
|
FINISHED |
| Object | Αθάμας |
—
|
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: Αθάμας | Statement: [Ινώ, drivesToMadness, Αθάμας]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivesToMadness Context triple: [Ινώ, drivesToMadness, Αθάμας]
-
A.
drivesMad
chosen
Indicates that one entity causes another entity to become extremely annoyed, frustrated, or mentally unsettled.
-
B.
demonDrivenTo
Indicates that a demon compels, motivates, or forces an entity to move toward or act upon a particular target or goal.
-
C.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
actOfMadScene
Indicates a performance or depiction of a dramatic “mad scene,” where a character’s madness or psychological breakdown is theatrically enacted.
- 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_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. |
Created at: April 16, 2026, 1:55 p.m.