Triple
T29607857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisanio |
E754625
|
entity |
| Predicate | relationshipToImogen |
P203475
|
FINISHED |
| Object | servant and protector |
—
|
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: servant and protector | Statement: [Pisanio, relationshipToImogen, servant and protector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToImogen Context triple: [Pisanio, relationshipToImogen, servant and protector]
-
A.
relationshipToJohanna
Indicates the specific type of relationship or connection that an entity has with Johanna.
-
B.
relationshipToTristan
Indicates the specific type of personal, social, or familial connection that one entity has with the individual named Tristan.
-
C.
relationshipToCatherine
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
D.
relationshipToSophie
Indicates the specific type of personal or social connection that an entity has to Sophie.
-
E.
relationshipToMary
Indicates that one entity stands in a specified personal or social relationship to Mary.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
| PDg | Predicate description generation | batch_6a018c6aaca081908c63d8d624fe9ec4 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 28, 2026, 6:26 p.m.