Triple
T36407041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Beaufort Frankenstein |
E896773
|
entity |
| Predicate | relationshipToElizabethLavenza |
P204859
|
FINISHED |
| Object | adoptive mother |
—
|
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: adoptive mother | Statement: [Caroline Beaufort Frankenstein, relationshipToElizabethLavenza, adoptive mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToElizabethLavenza Context triple: [Caroline Beaufort Frankenstein, relationshipToElizabethLavenza, adoptive mother]
-
A.
relationshipToEdgarLinton
Indicates the nature or type of relationship an entity has with Edgar Linton.
-
B.
relationshipToElinorDashwood
Indicates the specific familial, social, or interpersonal connection that one entity has to Elinor Dashwood.
-
C.
relationshipTypeWithHelenSchlegel
Indicates the specific nature or category of relationship that an entity has with Helen Schlegel.
-
D.
relationshipToElizabethBennet
Indicates the specific familial, social, or interpersonal connection that an entity has to Elizabeth Bennet.
-
E.
relationshipToJaneEyre
Indicates the specific familial, social, or emotional connection that one entity has to Jane Eyre.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.