Triple
T28209037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora Robson as Ellen Dean |
E717105
|
entity |
| Predicate | characterRoleInPlot |
P95262
|
FINISHED |
| Object | observer of Earnshaw and Linton families |
—
|
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: observer of Earnshaw and Linton families | Statement: [Flora Robson as Ellen Dean, characterRoleInPlot, observer of Earnshaw and Linton families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleInPlot Context triple: [Flora Robson as Ellen Dean, characterRoleInPlot, observer of Earnshaw and Linton families]
-
A.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
B.
characterStatusInStory
Indicates the role or condition a character holds within the context of a specific story or narrative.
-
C.
plotCharacter
chosen
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
-
D.
roleForProtagonist
Indicates the specific narrative or functional role that an entity plays in relation to the story’s main protagonist.
-
E.
storyCharacterizedAs
Indicates that a story is described, portrayed, or defined as having a particular quality, style, or attribute.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 27, 2026, 10:37 p.m.