Triple
T9752193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ant and the Grasshopper |
E236466
|
entity |
| Predicate | usesAnthropomorphism |
P26660
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Ant and the Grasshopper, usesAnthropomorphism, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAnthropomorphism Context triple: [The Ant and the Grasshopper, usesAnthropomorphism, yes]
-
A.
isAnthropomorphic
chosen
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
B.
isPersonificationOf
Indicates that one entity represents or embodies an abstract concept, quality, or non-human thing in human form.
-
C.
usesCreature
Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
-
D.
regardsDogsAs
Indicates that one entity holds a particular attitude, view, or treatment toward dogs.
-
E.
hasAffectionateUse
Indicates that one entity uses or refers to another in a loving, tender, or emotionally warm manner.
- 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_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. |
Created at: March 30, 2026, 8:24 p.m.