Triple
T14705263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Désirée |
E345412
|
entity |
| Predicate | relationshipToMadameValmondé |
P115431
|
FINISHED |
| Object | adopted daughter |
—
|
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: adopted daughter | Statement: [Désirée, relationshipToMadameValmondé, adopted daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMadameValmondé Context triple: [Désirée, relationshipToMadameValmondé, adopted daughter]
-
A.
relationshipToMadameMerle
Indicates the specific nature or type of relationship an entity has with Madame Merle.
-
B.
relationshipWithMiladyDeWinter
Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
-
C.
relationshipTypeWithVicomte de Valmont
Indicates the specific nature or category of relationship that an entity has with Vicomte de Valmont.
-
D.
relationshipToBaudelaires
Indicates the type of personal or familial connection an entity has to the Baudelaires.
-
E.
relationshipToGoriot
Indicates the type or nature of a person's relationship to Goriot.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6086c608190a66c64e23a3e002f |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.