Triple
T15578825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shellcreeper |
E374439
|
entity |
| Predicate | graphicStyleOfFirstAppearance |
P119268
|
FINISHED |
| Object | 2D sprite |
—
|
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: 2D sprite | Statement: [Shellcreeper, graphicStyleOfFirstAppearance, 2D sprite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicStyleOfFirstAppearance Context triple: [Shellcreeper, graphicStyleOfFirstAppearance, 2D sprite]
-
A.
firstAppearanceType
Indicates the type or category of context (e.g., medium, format, or work) in which an entity makes its first recorded appearance.
-
B.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
C.
settingOfFirstAppearance
Indicates the location or context in which an entity is first introduced or appears.
-
D.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
-
E.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.