Triple
T29192598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastian Balthazar Bux |
E740033
|
entity |
| Predicate | entersWorld |
P171475
|
FINISHED |
| Object | Fantasia |
—
|
NE NERFINISHED |
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: Fantasia | Statement: [Bastian Balthazar Bux, entersWorld, Fantasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entersWorld Context triple: [Bastian Balthazar Bux, entersWorld, Fantasia]
-
A.
enteredInto
Indicates that one entity has initiated or become formally involved in a particular state, agreement, relationship, or situation with another entity.
-
B.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
-
C.
entersBy
Indicates that one entity moves into or gains access to another entity through a specified entrance, route, or means.
-
D.
entersTimeline
Indicates that an entity begins to appear or be included at a specific point within a timeline or chronological sequence.
-
E.
formationEntered
Indicates that an entity has moved into and assumed a specified formation relative to other entities.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 28, 2026, 12:02 p.m.