Triple
T15693201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admetus |
E380385
|
entity |
| Predicate | taskAssistance |
P30538
|
FINISHED |
| Object | Apollo helped yoke the lion and boar |
—
|
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: Apollo helped yoke the lion and boar | Statement: [Admetus, taskAssistance, Apollo helped yoke the lion and boar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taskAssistance Context triple: [Admetus, taskAssistance, Apollo helped yoke the lion and boar]
-
A.
userTask
Indicates that a specific task is assigned to, owned by, or performed by a particular user.
-
B.
taskType
Indicates the specific category or kind of task an action or assignment belongs to within a broader set of tasks.
-
C.
typicalTask
Indicates the kind of task or activity that is normally or characteristically performed by an entity.
-
D.
taskInPlot
Indicates that a specific task occurs within, is associated with, or is part of a particular plot or storyline.
-
E.
assistant
chosen
Indicates that one entity provides help, support, or services to another entity.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.