Triple
T3243114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saskia with a Red Flower |
E68007
|
entity |
| Predicate | hasTitleMotif |
P46783
|
FINISHED |
| Object | red flower |
—
|
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: red flower | Statement: [Saskia with a Red Flower, hasTitleMotif, red flower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleMotif Context triple: [Saskia with a Red Flower, hasTitleMotif, red flower]
-
A.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
B.
hasTitleType
Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
-
C.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
D.
mayBeTitled
Indicates that an entity can optionally bear or be assigned a particular title, but is not required to have it.
-
E.
hasTitleHolder
Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf17463481909447f6ab46016407 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:08 p.m.