Triple
T24847989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the king (The Little Prince) |
E621808
|
entity |
| Predicate | interactionWithLittlePrince |
P131174
|
FINISHED |
| Object | tries to make the Little Prince his subject |
—
|
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: tries to make the Little Prince his subject | Statement: [the king (The Little Prince), interactionWithLittlePrince, tries to make the Little Prince his subject]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactionWithLittlePrince Context triple: [the king (The Little Prince), interactionWithLittlePrince, tries to make the Little Prince his subject]
-
A.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
-
B.
interactionWithLiving
chosen
Indicates a relationship in which an entity engages in some form of contact, communication, or mutual influence with a living being.
-
C.
tellsParableTo
Indicates that one entity relates or narrates a parable to another entity.
-
D.
interactionWithHumans
Indicates a relationship where an entity engages in some form of contact, communication, or mutual influence with humans.
-
E.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:20 a.m.