Triple
T20211579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavender Brown (film canon implication) |
E493497
|
entity |
| Predicate | sceneDepicts |
P139238
|
FINISHED |
| Object | Lavender Brown lying motionless after Fenrir Greyback's attack |
—
|
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: Lavender Brown lying motionless after Fenrir Greyback's attack | Statement: [Lavender Brown (film canon implication), sceneDepicts, Lavender Brown lying motionless after Fenrir Greyback's attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneDepicts Context triple: [Lavender Brown (film canon implication), sceneDepicts, Lavender Brown lying motionless after Fenrir Greyback's attack]
-
A.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
B.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
C.
sceneLabel
Indicates the categorical label or type assigned to an entire scene based on its overall content or context.
-
D.
depictedNear
Indicates that two entities are shown in close spatial proximity to each other within the same depiction or scene.
-
E.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
- F. None of above. chosen
Provenance (4 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed627f48190a8ba638b85977af3 |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:38 p.m.