Triple
T25202078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom Hearts III |
E631148
|
entity |
| Predicate | featuresWorld |
P169885
|
FINISHED |
| Object | Toy Story world |
—
|
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: Toy Story world | Statement: [Kingdom Hearts III, featuresWorld, Toy Story world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWorld Context triple: [Kingdom Hearts III, featuresWorld, Toy Story world]
-
A.
notableWorld
Indicates that an entity is notably recognized or significant on a global or worldwide scale.
-
B.
worldType
Indicates the classification or category of world or environment that an entity is associated with.
-
C.
featuresCountry
Indicates that something includes, highlights, or prominently involves a particular country.
-
D.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
E.
inWorldGeography
Indicates that something is located within or belongs to the physical geography of the world (such as a region, landscape, or geographic setting).
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 21, 2026, 12:51 p.m.