Triple
T38383492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maja of the Hårga community |
E893816
|
entity |
| Predicate | costumeDescriptor |
P189252
|
FINISHED |
| Object | white Hårga dress |
—
|
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: white Hårga dress | Statement: [Maja of the Hårga community, costumeDescriptor, white Hårga dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeDescriptor Context triple: [Maja of the Hårga community, costumeDescriptor, white Hårga dress]
-
A.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
B.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
C.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
-
D.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
E.
costumeName
chosen
Indicates that an entity has or is associated with a specific costume identified by name.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.