Triple
T37872985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Klaxxi |
E944649
|
entity |
| Predicate | firstAppearancePatch |
P99620
|
FINISHED |
| Object | Patch 5.0.4 |
—
|
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: Patch 5.0.4 | Statement: [The Klaxxi, firstAppearancePatch, Patch 5.0.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearancePatch Context triple: [The Klaxxi, firstAppearancePatch, Patch 5.0.4]
-
A.
introducedInPatch
chosen
Indicates that something (such as a feature, change, or fix) first appeared or became available in a specific software patch.
-
B.
firstAppearancePart
Indicates that an entity makes its first appearance as a component or segment within a larger work or sequence.
-
C.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.