Triple
T28776574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Bertram |
E726548
|
entity |
| Predicate | relationshipToFannyPrice |
P140682
|
FINISHED |
| Object | Cousin |
—
|
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 | Statement: [Edmund Bertram, relationshipToFannyPrice, Cousin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFannyPrice Context triple: [Edmund Bertram, relationshipToFannyPrice, Cousin]
-
A.
relationshipToEglantinePrice
chosen
Indicates the nature or type of relationship an entity has with Eglantine Price.
-
B.
priceRelationship
Indicates a comparative relationship between the prices of two entities, such as one being higher, lower, or equal to the other.
-
C.
relativePrice
Indicates a comparison of the cost or monetary value of one entity relative to another.
-
D.
fareLowerThan
Indicates that the fare associated with one entity is lower in cost than the fare associated with another entity.
-
E.
priceInfluencedBy
Indicates that the price of one entity is affected or determined by another specified factor or entity.
- F. None of above.
Provenance (3 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
Created at: April 28, 2026, 6:18 a.m.