Triple
T1910482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Françoise Gilot |
E38097
|
entity |
| Predicate | startTimeOfRelationshipWith Pablo Picasso |
P32390
|
FINISHED |
| Object | 1943 |
—
|
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: 1943 | Statement: [Françoise Gilot, startTimeOfRelationshipWith Pablo Picasso, 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRelationshipWith Pablo Picasso Context triple: [Françoise Gilot, startTimeOfRelationshipWith Pablo Picasso, 1943]
-
A.
endTimeOfRelationshipWithPabloPicasso
Indicates the time at which a relationship with Pablo Picasso comes to an end.
-
B.
periodOfCohabitationWithPaulGauguin
Indicates the span of time during which an entity lived together with Paul Gauguin in a shared residence.
-
C.
relationshipStartYear
chosen
Indicates the calendar year in which a particular relationship between entities was initiated.
-
D.
approximateBirthYear
Indicates that the associated year is an estimated or inferred value for when an entity was born, rather than an exact known birth year.
-
E.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.