Triple
T38679016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man in Chair |
E943835
|
entity |
| Predicate | propAssociation |
P2830
|
FINISHED |
| Object | record player |
—
|
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: record player | Statement: [Man in Chair, propAssociation, record player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propAssociation Context triple: [Man in Chair, propAssociation, record player]
-
A.
functionAssociation
Indicates that one entity is associated with, implements, or is linked to a particular function or functional role of another entity.
-
B.
antAssociation
Indicates a relationship in which one entity is associated or interacts in a specific, notable way with ants.
-
C.
classAssociation
Indicates a relationship where one entity is associated with, but not necessarily a member or subclass of, a particular class or category.
-
D.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.