Triple
T26984247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frau Frieda |
E679688
|
entity |
| Predicate | typeOfCostume |
P5541
|
FINISHED |
| Object | traditional German 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: traditional German dress | Statement: [Frau Frieda, typeOfCostume, traditional German dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCostume Context triple: [Frau Frieda, typeOfCostume, traditional German dress]
-
A.
costumeType
chosen
Indicates the specific kind or category of costume associated with an entity.
-
B.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
C.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
D.
numberOfCostumes
Indicates the total count of costumes associated with or used by a given entity.
-
E.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 27, 2026, 6:47 a.m.