Triple
T3939634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothko Room (Mark Rothko works) |
E92002
|
entity |
| Predicate | intendedAudienceExperience |
P22183
|
FINISHED |
| Object | contemplation |
—
|
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: contemplation | Statement: [Rothko Room (Mark Rothko works), intendedAudienceExperience, contemplation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedAudienceExperience Context triple: [Rothko Room (Mark Rothko works), intendedAudienceExperience, contemplation]
-
A.
typeOfExperience
chosen
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
B.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
C.
allowsNoPriorExperience
Indicates that the action, role, or opportunity does not require any previous experience from the participant or applicant.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
experienceStyle
Indicates that one entity has or is associated with a particular manner, approach, or style in which an experience is delivered or undergone.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.