Triple
T28978615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dota: Dragon’s Blood |
E734484
|
entity |
| Predicate | hasOpeningThemeLanguage |
P9278
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Dota: Dragon’s Blood, hasOpeningThemeLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningThemeLanguage Context triple: [Dota: Dragon’s Blood, hasOpeningThemeLanguage, English]
-
A.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
B.
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.
-
C.
languageOfTheme
Indicates that a particular language is used to express, describe, or label a given theme or subject.
-
D.
hasLanguageOn
chosen
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
E.
isOnBilingualThemedAlbum
Indicates that an item (such as a song or track) appears on an album whose theme or content prominently involves two languages.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 9:10 a.m.