Triple
T27989876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Période rose |
E706840
|
entity |
| Predicate | timeInPicassoLife |
P164002
|
FINISHED |
| Object | Picasso's early twenties |
—
|
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: Picasso's early twenties | Statement: [Période rose, timeInPicassoLife, Picasso's early twenties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInPicassoLife Context triple: [Période rose, timeInPicassoLife, Picasso's early twenties]
-
A.
PicassoLivedIn
Indicates that Picasso resided in a particular place for some period of time.
-
B.
endTimeOfRelationshipWithPabloPicasso
Indicates the time at which a relationship with Pablo Picasso comes to an end.
-
C.
BlackPaintingsApproximateDateEnd
Indicates the approximate latest date or time period by which the creation of the Black Paintings is considered to have ended.
-
D.
numberOfBlackPaintings
Indicates the count of paintings in the subject entity that are classified as black paintings.
-
E.
estimatedNumberOfPaintings
Indicates the approximate count of paintings associated with an entity, rather than an exact, verified number.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 7:49 p.m.