Triple
T29240161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Verdurin |
E741296
|
entity |
| Predicate | marriesInto |
P4942
|
FINISHED |
| Object | the Guermantes family |
E1857274
|
NE 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: the Guermantes family | Statement: [Madame Verdurin, marriesInto, the Guermantes family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriesInto Context triple: [Madame Verdurin, marriesInto, the Guermantes family]
-
A.
marriedInto
chosen
Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
-
B.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
C.
marriesFor
Indicates that one entity enters into marriage with another entity specifically for a particular reason, motive, or benefit.
-
D.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
E.
formedByMarriageOf
Indicates that something (typically a family, union, or legal entity) comes into existence as a result of the marriage between two entities.
- F. None of above.
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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25891f499c8190b165dad08f2b5b28 |
completed | June 7, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 12:30 p.m.