Triple
T9752169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ant and the Grasshopper |
E236466
|
entity |
| Predicate | grasshopperRole |
P90498
|
FINISHED |
| Object | carefree character |
—
|
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: carefree character | Statement: [The Ant and the Grasshopper, grasshopperRole, carefree character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grasshopperRole Context triple: [The Ant and the Grasshopper, grasshopperRole, carefree character]
-
A.
roleInSwarm
Indicates the specific function or position an entity holds within a coordinated swarm or collective group.
-
B.
farmSystemRole
Indicates the specific function, responsibility, or position an entity holds within an agricultural or farm management system.
-
C.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
D.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
E.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:24 p.m.