Triple
T14646163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léonce Pontellier |
E343853
|
entity |
| Predicate | relationshipToEdna Pontellier |
P115197
|
FINISHED |
| Object | husband |
—
|
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: husband | Statement: [Léonce Pontellier, relationshipToEdna Pontellier, husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToEdna Pontellier Context triple: [Léonce Pontellier, relationshipToEdna Pontellier, husband]
-
A.
relationshipToBlancheDuBois
Indicates the specific familial, social, or interpersonal connection an entity has with Blanche DuBois.
-
B.
relationshipToMissWatson
Indicates the type or nature of a person's relational connection to Miss Watson (e.g., familial, social, or other defined relationship).
-
C.
relationshipWithIsabelArcher
Indicates that there exists a specific kind of interpersonal relationship or connection between an entity and Isabel Archer.
-
D.
relationshipToCarolineCompson
Indicates the specific familial or social relationship that an entity has to Caroline Compson.
-
E.
relationshipToHuckFinn
Indicates the specific type of personal or social relationship an entity has to Huck Finn.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.