Triple
T1768585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Thérèse Walter |
E38819
|
entity |
| Predicate | startTimeOfRelationshipWithPabloPicasso |
P10338
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Marie-Thérèse Walter, startTimeOfRelationshipWithPabloPicasso, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRelationshipWithPabloPicasso Context triple: [Marie-Thérèse Walter, startTimeOfRelationshipWithPabloPicasso, 1927]
-
A.
periodOfCohabitationWithPaulGauguin
Indicates the span of time during which an entity lived together with Paul Gauguin in a shared residence.
-
B.
dateOfMetOperaDebut
Indicates the specific date on which an individual or group first performed at the Metropolitan Opera.
-
C.
numberOfImpressionistExhibitionsParticipated
Indicates the count of Impressionist art exhibitions in which an entity has participated.
-
D.
startTimeOfPoliticalCareer
Indicates the point in time when an individual’s political career officially began.
-
E.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.