Triple
T1910483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Françoise Gilot |
E38097
|
entity |
| Predicate | endTimeOfRelationshipWith Pablo Picasso |
P31673
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Françoise Gilot, endTimeOfRelationshipWith Pablo Picasso, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfRelationshipWith Pablo Picasso Context triple: [Françoise Gilot, endTimeOfRelationshipWith Pablo Picasso, 1953]
-
A.
endTimeOfRelationshipWithPabloPicasso
chosen
Indicates the time at which a relationship with Pablo Picasso comes to an end.
-
B.
relationshipStartYear
Indicates the calendar year in which a particular relationship between entities was initiated.
-
C.
periodOfCohabitationWithPaulGauguin
Indicates the span of time during which an entity lived together with Paul Gauguin in a shared residence.
-
D.
historicalRelationship
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
E.
hasPoliticalRelationshipWith
Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
- 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.