Triple
T32565173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 NFL Playoff Game |
E832341
|
entity |
| Predicate | bearsRegularSeasonRecord |
P121638
|
FINISHED |
| Object | 7–1–6 |
—
|
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: 7–1–6 | Statement: [1932 NFL Playoff Game, bearsRegularSeasonRecord, 7–1–6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearsRegularSeasonRecord Context triple: [1932 NFL Playoff Game, bearsRegularSeasonRecord, 7–1–6]
-
A.
BearsRegularSeasonRecord
chosen
Indicates the relationship between the Chicago Bears and a specific regular season, specifying their win-loss (and possibly tie) record for that season.
-
B.
awayTeamRegularSeasonRecord
Indicates the win-loss (and possibly tie) record that the away team has accumulated during the regular season.
-
C.
bearsScore
Indicates that an entity has or is assigned a particular score or numerical evaluation.
-
D.
GreenBayRegularSeasonRecord
Indicates the win-loss (and possibly tie) record achieved by the Green Bay team during a specific regular season.
-
E.
seasonRecord
Indicates the overall performance or results an entity achieved over the course of a specific season (e.g., wins, losses, or comparable outcome metrics).
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:03 a.m.