Triple
T27677015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contemporary Baseball Era Committee |
E697808
|
entity |
| Predicate | primaryImpactOn |
P42250
|
FINISHED |
| Object | Major League Baseball |
—
|
NE NERFINISHED |
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: Major League Baseball | Statement: [Contemporary Baseball Era Committee, primaryImpactOn, Major League Baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryImpactOn Context triple: [Contemporary Baseball Era Committee, primaryImpactOn, Major League Baseball]
-
A.
primaryInfluence
Indicates that one entity serves as the main or most significant influencing factor on another entity’s state, behavior, or outcome.
-
B.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
C.
majorImpact
chosen
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
D.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: April 27, 2026, 2:44 p.m.