Triple
T37509349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High King of the Alliance |
E932176
|
entity |
| Predicate | inLoreMedium |
P187717
|
FINISHED |
| Object | novels set in the Warcraft universe |
—
|
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: novels set in the Warcraft universe | Statement: [High King of the Alliance, inLoreMedium, novels set in the Warcraft universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLoreMedium Context triple: [High King of the Alliance, inLoreMedium, novels set in the Warcraft universe]
-
A.
featuredMedium
Indicates that one medium (such as an image, video, or other media item) is highlighted or designated as the primary or representative media for another entity.
-
B.
storyMedium
Indicates the medium or format through which a story is conveyed (e.g., book, film, audio).
-
C.
mentionedInMedium
Indicates that one entity is referenced, cited, or discussed within a particular medium (such as an article, video, or broadcast).
-
D.
loreMedium
chosen
Indicates that something serves as the medium or channel through which lore, stories, or background information is conveyed.
-
E.
informationMedium
Indicates the medium or channel through which information is conveyed or communicated between entities.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.