Triple
T28898954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius |
E732901
|
entity |
| Predicate | featuresEnemyTheme |
P197902
|
FINISHED |
| Object | mechanical sea creatures |
—
|
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: mechanical sea creatures | Statement: [Darius, featuresEnemyTheme, mechanical sea creatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEnemyTheme Context triple: [Darius, featuresEnemyTheme, mechanical sea creatures]
-
A.
battleTheme
Indicates that a particular piece of music or motif is used or associated as the theme during a battle or combat encounter between entities.
-
B.
featuresThemeBy
Indicates that something (such as a work, event, or product) prominently includes or centers around a particular theme created or defined by a specified source or entity.
-
C.
featuresAntagonistEntity
Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
-
D.
featuresBattle
Indicates that one entity includes, presents, or involves a battle as a significant element or event.
-
E.
enemyType
Indicates that one entity is classified as an enemy of a specified type or category in relation to another entity.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
| PDg | Predicate description generation | batch_69feb8e6ed7881908446745c89c30784 |
completed | May 9, 2026, 4:32 a.m. |
Created at: April 28, 2026, 8:01 a.m.