Triple
T8320136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Here’s Johnny!" |
E194808
|
entity |
| Predicate | doorMaterialInScene |
P67012
|
FINISHED |
| Object | wooden bathroom door |
—
|
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: wooden bathroom door | Statement: ["Here’s Johnny!", doorMaterialInScene, wooden bathroom door]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doorMaterialInScene Context triple: ["Here’s Johnny!", doorMaterialInScene, wooden bathroom door]
-
A.
hasDoorMaterial
chosen
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
B.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
C.
doorType
Indicates the specific kind or category of door associated with an entity.
-
D.
windowMaterial
Indicates the material from which a window is made or constructed.
-
E.
doorwayFeature
Indicates that one entity is a feature, characteristic, or structural element specifically associated with a doorway of another entity.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f6686a0819094abc2bfd2e500a5 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.