Triple
T1667142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanija Knavs |
E36036
|
entity |
| Predicate | fashionReputation |
P29718
|
FINISHED |
| Object | known for high-end fashion choices as First Lady |
—
|
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: known for high-end fashion choices as First Lady | Statement: [Melanija Knavs, fashionReputation, known for high-end fashion choices as First Lady]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fashionReputation Context triple: [Melanija Knavs, fashionReputation, known for high-end fashion choices as First Lady]
-
A.
reputationBuiltFor
Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
-
B.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
-
C.
editorialReputation
Indicates the perceived quality, reliability, and integrity of an entity’s editorial practices or content.
-
D.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
E.
isFashionCenterFor
Indicates that something serves as a primary hub or focal point for fashion-related activities, influence, or industry.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69a907d331748190963d4ab1a2741537 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9178d84008190a96c1429420fb374 |
completed | March 5, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:29 p.m.