Triple
T1641935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Bay Packers |
E35491
|
entity |
| Predicate | hallOfFameInductees |
P22725
|
FINISHED |
| Object | multiple Pro Football Hall of Famers |
—
|
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: multiple Pro Football Hall of Famers | Statement: [Green Bay Packers, hallOfFameInductees, multiple Pro Football Hall of Famers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallOfFameInductees Context triple: [Green Bay Packers, hallOfFameInductees, multiple Pro Football Hall of Famers]
-
A.
teamHallOfFameInduction
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
B.
hallOfFameAssociation
Indicates that an entity is formally associated with a hall of fame, such as through induction, nomination, or recognition.
-
C.
hallOfFameInductionYear
Indicates the year in which an entity was formally inducted into a hall of fame.
-
D.
hasNumberOfInductees
chosen
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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.