Triple
T18069570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atanacio Pérez Rigal |
E432387
|
entity |
| Predicate | RedsHallOfFameInductee |
P7102
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Atanacio Pérez Rigal, RedsHallOfFameInductee, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RedsHallOfFameInductee Context triple: [Atanacio Pérez Rigal, RedsHallOfFameInductee, true]
-
A.
notableHallOfFamer
Indicates that the subject is recognized as a particularly distinguished or prominent member of a hall of fame.
-
B.
teamHallOfFameInduction
chosen
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
C.
isHockeyHallOfFameInductee
Indicates that an entity has been formally inducted into the Hockey Hall of Fame.
-
D.
hasInducteesFrom
Indicates that an entity includes or contains individuals who have been formally inducted from another specified group, source, or category.
-
E.
BabeRuthRole
Indicates that an entity holds the specific role or position associated with Babe Ruth (e.g., as a legendary baseball player or cultural figure) in relation to another entity.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.