Triple
T17143835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Johnson |
E416037
|
entity |
| Predicate | superBowlTitleCount |
P126279
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Brad Johnson, superBowlTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superBowlTitleCount Context triple: [Brad Johnson, superBowlTitleCount, 1]
-
A.
superBowlTitlesWith
Indicates that one entity has won a specified number of Super Bowl titles associated with another entity (such as a team or organization).
-
B.
superBowlTitle
Indicates that one entity is the winner (holder) of a specified Super Bowl championship title.
-
C.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
-
D.
SuperBowlTitlesWithTeam
Indicates the relationship between a team and the number of Super Bowl titles that team has won.
-
E.
associatedWithSuperBowlTitle
Indicates that an entity has a relationship or connection to a specific Super Bowl championship title.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.