Triple
T9118202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frida Kahlo |
E218775
|
entity |
| Predicate | percentageOfOeuvreAsSelfPortraits |
P87193
|
FINISHED |
| Object | approximately one-third |
—
|
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: approximately one-third | Statement: [Frida Kahlo, percentageOfOeuvreAsSelfPortraits, approximately one-third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfOeuvreAsSelfPortraits Context triple: [Frida Kahlo, percentageOfOeuvreAsSelfPortraits, approximately one-third]
-
A.
numberOfPaintingsCreated
Indicates the total count of paintings that an entity has created.
-
B.
estimatedNumberOfPaintings
Indicates the approximate count of paintings associated with an entity, rather than an exact, verified number.
-
C.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
D.
partOfArtistOeuvre
Indicates that something (such as a work or piece) belongs to and is included within an artist’s overall body of work.
-
E.
olderSelfPortrayedBy
Indicates that one entity is portrayed as the older version of another entity, typically in a narrative or performance context.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a5e2ac8190b602ef0c77deb2fa |
completed | April 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.