Triple
T3524339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago White Sox Hall of Fame |
E74501
|
entity |
| Predicate | inducteeType |
P5821
|
FINISHED |
| Object | player |
—
|
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: player | Statement: [Chicago White Sox Hall of Fame, inducteeType, player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inducteeType Context triple: [Chicago White Sox Hall of Fame, inducteeType, player]
-
A.
inducteeCategory
chosen
Indicates the classification or type of group into which an entity is being formally inducted.
-
B.
inductedInto
Indicates that an entity has been formally admitted or entered into a group, organization, hall of fame, or similar body, typically as an honor or official recognition.
-
C.
teamHallOfFameInduction
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
D.
hasNumberOfInductees
Indicates the specific count of inductees associated with a given entity or context.
-
E.
hallOfFameInductionMethod
Indicates the method or process by which an entity is inducted into a hall of fame.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.