Triple
T8814393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demon's Souls (2020) |
E209741
|
entity |
| Predicate | hasCharacterCustomization |
P33710
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Demon's Souls (2020), hasCharacterCustomization, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterCustomization Context triple: [Demon's Souls (2020), hasCharacterCustomization, yes]
-
A.
hasCosmetics
Indicates that one entity possesses, uses, or is associated with cosmetic products or beauty-related items in relation to another entity or context.
-
B.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
-
C.
hasLivery
Indicates that one entity bears or displays the distinctive colors, markings, or branding (livery) associated with another entity.
-
D.
customizableBy
chosen
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
E.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff1a4448190b5559f440d264442 |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.