Triple
T19605495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark Eagles |
E470593
|
entity |
| Predicate | hallOfFameAlumnus |
P27088
|
FINISHED |
| Object | Leon Day |
—
|
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: Leon Day | Statement: [Newark Eagles, hallOfFameAlumnus, Leon Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Day Context triple: [Newark Eagles, hallOfFameAlumnus, Leon Day]
-
A.
Leon Day
chosen
Leon Day was an American Negro League baseball pitcher renowned for his exceptional versatility, speed, and dominance on the mound, and was posthumously inducted into the Baseball Hall of Fame.
-
B.
Jimmy Day
Jimmy Day was an influential American pedal steel guitarist renowned for his work in country music and collaborations with artists like Willie Nelson.
-
C.
Michael Day
Michael Day is a personal name shared by multiple individuals across various professions, including sports, politics, and the arts.
-
D.
James Day
James Day is a relatively common personal name shared by multiple individuals across various professions, including the arts, sports, and academia.
-
E.
Daniel O’Day
Daniel O’Day is a biopharmaceutical executive best known as the chief executive officer of Gilead Sciences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c6cb3c819096b8093499d8e1ad |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.