Triple
T33878917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Reed |
E868430
|
entity |
| Predicate | relationToJaneEyre |
P198032
|
FINISHED |
| Object | aunt by marriage |
—
|
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: aunt by marriage | Statement: [Sarah Reed, relationToJaneEyre, aunt by marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToJaneEyre Context triple: [Sarah Reed, relationToJaneEyre, aunt by marriage]
-
A.
relationshipToJaneEyre
chosen
Indicates the specific familial, social, or emotional connection that one entity has to Jane Eyre.
-
B.
relationshipToJaneBennet
Indicates the specific familial, social, or emotional connection that one entity has to Jane Bennet.
-
C.
relationshipToHeathcliff
Indicates the nature or type of relational connection an entity has with Heathcliff.
-
D.
relationshipToAuntEller
Indicates the specific familial relationship that an entity has to Aunt Eller (e.g., whether and how they are related to her).
-
E.
relationshipToIsabellaLinton
Indicates the specific familial, social, or emotional relationship that one entity has with Isabella Linton.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:48 a.m.