Triple
T14529392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Mallard |
E340862
|
entity |
| Predicate | spendsKeySceneIn |
P7326
|
FINISHED |
| Object | her bedroom |
—
|
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: her bedroom | Statement: [Louise Mallard, spendsKeySceneIn, her bedroom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spendsKeySceneIn Context triple: [Louise Mallard, spendsKeySceneIn, her bedroom]
-
A.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
spendsTimeAt
Indicates that an entity regularly or repeatedly uses time at a particular place or location.
-
D.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
E.
notableScene
chosen
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.