Triple
T37461991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C’Thun Druid |
E930939
|
entity |
| Predicate | archetypeEra |
P145406
|
FINISHED |
| Object | Year of the Kraken |
—
|
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: Year of the Kraken | Statement: [C’Thun Druid, archetypeEra, Year of the Kraken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archetypeEra Context triple: [C’Thun Druid, archetypeEra, Year of the Kraken]
-
A.
creatorEra
Indicates the historical period or era during which the creator of an entity was active or produced the entity.
-
B.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
D.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
E.
subjectHasEra
chosen
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.