Triple
T9056305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Froggie Went A-Courtin’ |
E217005
|
entity |
| Predicate | hasNotableAdaptationType |
P56729
|
FINISHED |
| Object | illustrated children’s book |
—
|
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: illustrated children’s book | Statement: [Froggie Went A-Courtin’, hasNotableAdaptationType, illustrated children’s book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAdaptationType Context triple: [Froggie Went A-Courtin’, hasNotableAdaptationType, illustrated children’s book]
-
A.
notableAdaptationType
chosen
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
B.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
C.
hasNotableAdaptationComposer
Indicates that an entity has a composer specifically responsible for the music of a notable adaptation of that entity.
-
D.
adaptedTo
Indicates that one entity has been modified, adjusted, or evolved to function effectively within the conditions, requirements, or characteristics defined by another entity.
-
E.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a75d8e881909414d745ec054182 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.