Triple
T20249579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League wins leader |
E498514
|
entity |
| Predicate | isPer |
P139394
|
FINISHED |
| Object | season |
—
|
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: season | Statement: [American League wins leader, isPer, season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPer Context triple: [American League wins leader, isPer, season]
-
A.
isPro
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
B.
isPerfect
Indicates that an entity possesses all required qualities or characteristics to the highest or complete degree, without flaws or deficiencies.
-
C.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
-
D.
isActually
Indicates that something is in fact a particular way or identity, often clarifying or correcting a previous or apparent understanding.
-
E.
isMost
Indicates that one entity has the greatest degree or quantity of a specified property or attribute compared to all others in a given set.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a699b48190a2073a3bd8851125 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.