Triple
T15577905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria van Oosterwijck |
E374414
|
entity |
| Predicate | contemporaryRecognition |
P29313
|
FINISHED |
| Object | admired at European courts |
—
|
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: admired at European courts | Statement: [Maria van Oosterwijck, contemporaryRecognition, admired at European courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporaryRecognition Context triple: [Maria van Oosterwijck, contemporaryRecognition, admired at European courts]
-
A.
hasContemporaryRecognition
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
B.
contemporaryReception
chosen
Indicates how a work, event, or figure was received, perceived, or evaluated by audiences and critics at the time it originally appeared or occurred.
-
C.
contemporaryPresenceIn
Indicates that an entity exists or is present in a particular place, context, or timeframe at the same time as another specified reference point or entity.
-
D.
gainedRecognition
Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
-
E.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.