Triple
T23444146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boolie Werthan |
E565486
|
entity |
| Predicate | relationshipToDaisyWerthan |
P152312
|
FINISHED |
| Object | son |
—
|
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: son | Statement: [Boolie Werthan, relationshipToDaisyWerthan, son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDaisyWerthan Context triple: [Boolie Werthan, relationshipToDaisyWerthan, son]
-
A.
relationToAuntDahlia
Indicates a familial relationship in which one entity stands in a specified relation (such as niece, nephew, or other kin) to the person referred to as Aunt Dahlia.
-
B.
relationshipToDeloris
Indicates the specific type of personal, familial, or social relationship that one entity has with the entity named Deloris.
-
C.
relationshipToNerissa
Indicates the specific type of personal, social, or familial relationship that one entity has with Nerissa.
-
D.
relationshipToTess
Indicates the specific type of relationship or connection that an entity has to Tess.
-
E.
relationshipToBaudelaires
Indicates the type of personal or familial connection an entity has to the Baudelaires.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64717d08190a2c25e7bbfc17a2f |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:51 p.m.