Triple
T38009926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Carstone |
E948336
|
entity |
| Predicate | financialEffectOf |
P167518
|
FINISHED |
| Object | Jarndyce and Jarndyce lawsuit |
—
|
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: Jarndyce and Jarndyce lawsuit | Statement: [Richard Carstone, financialEffectOf, Jarndyce and Jarndyce lawsuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialEffectOf Context triple: [Richard Carstone, financialEffectOf, Jarndyce and Jarndyce lawsuit]
-
A.
budgetaryEffect
Indicates the financial impact or change in budget resulting from a particular action, decision, or policy.
-
B.
costImpact
Indicates the effect that one entity or action has on the cost associated with another entity or process.
-
C.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
D.
impactOnEconomy
Indicates the effect or influence that one factor, event, or action has on the state or performance of an economy.
-
E.
hasEconomicImplication
chosen
Indicates that one entity’s state, action, or relationship has a direct or indirect impact on the economic conditions, costs, or financial outcomes of another entity or system.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.