Triple
T38655837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 World Football League season |
E939887
|
entity |
| Predicate | financialProblems |
P191483
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [1974 World Football League season, financialProblems, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialProblems Context triple: [1974 World Football League season, financialProblems, yes]
-
A.
financialProblemsBegan
Indicates the point in time when an entity’s financial difficulties or monetary troubles started.
-
B.
financialContext
Indicates that the relationship or action occurs within, affects, or is interpreted in light of financial conditions, transactions, or considerations.
-
C.
financialBehavior
Indicates how an entity manages, uses, or responds to money and financial resources in practice.
-
D.
financialResponsibility
Indicates that one entity is obligated to bear the costs, debts, or economic consequences associated with another entity or activity.
-
E.
financialModel
Indicates a relationship where one entity represents or defines the structure, assumptions, and calculations used to analyze or predict the financial performance or value of another entity.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.