Triple
T21086973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Basketball League (1925–1955) |
E519517
|
entity |
| Predicate | ruleInfluence |
P142783
|
FINISHED |
| Object | helped standardize professional basketball rules |
—
|
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: helped standardize professional basketball rules | Statement: [American Basketball League (1925–1955), ruleInfluence, helped standardize professional basketball rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruleInfluence Context triple: [American Basketball League (1925–1955), ruleInfluence, helped standardize professional basketball rules]
-
A.
rulesBy
Indicates that one entity governs, controls, or exercises authoritative power over another entity.
-
B.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
C.
courtInfluenceUnder
Indicates that one court operates under the legal authority, jurisdiction, or influence of another, higher court.
-
D.
relatedRule
Indicates that one rule is connected or associated with another rule, typically through some logical, structural, or referential relationship.
-
E.
courtInfluence
Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094be9388190b004fda23f301397 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.