Triple
T974746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Football Hall of Fame |
E21025
|
entity |
| Predicate | hasNumberOfInductees |
P22725
|
FINISHED |
| Object | over 350 inductees |
—
|
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: over 350 inductees | Statement: [Pro Football Hall of Fame, hasNumberOfInductees, over 350 inductees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfInductees Context triple: [Pro Football Hall of Fame, hasNumberOfInductees, over 350 inductees]
-
A.
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.
-
B.
teamHallOfFameInduction
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
C.
hallOfFameInductionYear
Indicates the year in which an entity was formally inducted into a hall of fame.
-
D.
inducteeCategory
Indicates the classification or type of group into which an entity is being formally inducted.
-
E.
hallOfFameInductionMethod
Indicates the method or process by which an entity is inducted into a hall of fame.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b460a5c0819087b03dfb8a3af2c2 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.