Triple
T18400742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Marschallin |
E449984
|
entity |
| Predicate | relationshipToBaronOchs |
P130979
|
FINISHED |
| Object | cousin by marriage |
—
|
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: cousin by marriage | Statement: [the Marschallin, relationshipToBaronOchs, cousin by marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToBaronOchs Context triple: [the Marschallin, relationshipToBaronOchs, cousin by marriage]
-
A.
relationshipToBaron de Wolmar
Indicates the nature or type of connection, association, or role that one entity has in relation to Baron de Wolmar.
-
B.
relationshipToBarryFairbrother
Indicates the specific nature or type of relationship an entity has with Barry Fairbrother.
-
C.
relationshipToBobinot
Indicates the nature or type of relationship that one entity has with Bobinot.
-
D.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
-
E.
relationshipToSaintBarbara
Indicates that one entity has a specified relationship or connection to Saint Barbara.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.