Triple
T24848005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the king (The Little Prince) |
E621808
|
entity |
| Predicate | representsToLittlePrince |
P162846
|
FINISHED |
| Object | a puzzling form of grown-up behavior |
—
|
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: a puzzling form of grown-up behavior | Statement: [the king (The Little Prince), representsToLittlePrince, a puzzling form of grown-up behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsToLittlePrince Context triple: [the king (The Little Prince), representsToLittlePrince, a puzzling form of grown-up behavior]
-
A.
relationshipToLittlePrince
Indicates the specific type of personal or emotional connection an entity has to the Little Prince.
-
B.
childRepresents
Indicates that a child entity serves as a representation, proxy, or stand-in for another entity in some context or structure.
-
C.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
D.
tellsParableTo
Indicates that one entity relates or narrates a parable to another entity.
-
E.
representsForCharacters
Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 18, 2026, 5:20 a.m.