Triple
T5000274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dancing Couple |
E112353
|
entity |
| Predicate | portraysClass |
P20492
|
FINISHED |
| Object | peasants |
—
|
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: peasants | Statement: [The Dancing Couple, portraysClass, peasants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysClass Context triple: [The Dancing Couple, portraysClass, peasants]
-
A.
depictsClass
chosen
Indicates that one entity visually represents or portrays a particular class or category of entities.
-
B.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
C.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
D.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
E.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.