Triple
T34728067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gex: Enter the Gecko |
E1001124
|
entity |
| Predicate | hasLevelTheme |
P183372
|
FINISHED |
| Object | cartoon 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: cartoon world | Statement: [Gex: Enter the Gecko, hasLevelTheme, cartoon world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelTheme Context triple: [Gex: Enter the Gecko, hasLevelTheme, cartoon world]
-
A.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
B.
hasRankTheme
Indicates that one entity has a thematic role or subject matter characterized by a particular rank or hierarchical level.
-
C.
levelTheme
chosen
Indicates that a particular theme is associated with or applied to a given level.
-
D.
hasLanguageTheme
Indicates that something (such as a work, resource, or item) centrally involves, focuses on, or is characterized by a particular language or linguistic aspect as a thematic element.
-
E.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 3:59 p.m.