Triple
T14529482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobinôt |
E340865
|
entity |
| Predicate | relationshipToCalixtaIn"At the 'Cadian Ball" |
P114633
|
FINISHED |
| Object | suitor |
—
|
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: suitor | Statement: [Bobinôt, relationshipToCalixtaIn"At the 'Cadian Ball", suitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCalixtaIn"At the 'Cadian Ball" Context triple: [Bobinôt, relationshipToCalixtaIn"At the 'Cadian Ball", suitor]
-
A.
relationshipToBaudelaires
Indicates the type of personal or familial connection an entity has to the Baudelaires.
-
B.
La Cotinière
Indicates a locational or associative relationship involving the place named "La Cotinière," such as being situated in, originating from, or otherwise connected to that locality.
-
C.
relationshipToCarolineCompson
Indicates the specific familial or social relationship that an entity has to Caroline Compson.
-
D.
relationshipToCandide
Indicates the specific type of relationship or connection an entity has to the entity named Candide.
-
E.
relationshipToMissWatson
Indicates the type or nature of a person's relational connection to Miss Watson (e.g., familial, social, or other defined relationship).
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.