Triple
T3859210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Bears–Green Bay Packers rivalry |
E90092
|
entity |
| Predicate | eraOfPackersDominance |
P52393
|
FINISHED |
| Object | Brett Favre era |
—
|
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: Brett Favre era | Statement: [Chicago Bears–Green Bay Packers rivalry, eraOfPackersDominance, Brett Favre era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfPackersDominance Context triple: [Chicago Bears–Green Bay Packers rivalry, eraOfPackersDominance, Brett Favre era]
-
A.
yearBecamePackersHeadCoach
Indicates the specific year in which an individual assumed the role of head coach of the Green Bay Packers.
-
B.
ChicagoPackersSeason
Indicates the relationship between the Chicago Packers team and a specific basketball season in which they competed.
-
C.
franchiseFirstSuperBowlWin
Indicates the specific Super Bowl game in which a franchise achieved its first-ever championship victory.
-
D.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
E.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:19 p.m.