Triple
T11876149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovie Smith |
E282531
|
entity |
| Predicate | seasonRecordWithChicagoBears |
P21379
|
FINISHED |
| Object | 13–3 in 2006 NFL season |
—
|
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: 13–3 in 2006 NFL season | Statement: [Lovie Smith, seasonRecordWithChicagoBears, 13–3 in 2006 NFL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonRecordWithChicagoBears Context triple: [Lovie Smith, seasonRecordWithChicagoBears, 13–3 in 2006 NFL season]
-
A.
pointsScoredByChicagoBears
Indicates the number of points that were scored by the Chicago Bears in a game or event.
-
B.
CubsRegularSeasonRecord
Indicates the relationship that specifies the Chicago Cubs’ win–loss (and possibly tie) record for a particular regular baseball season.
-
C.
seasonRecord
chosen
Indicates the overall performance or results an entity achieved over the course of a specific season (e.g., wins, losses, or comparable outcome metrics).
-
D.
GreenBayRegularSeasonRecord
Indicates the win-loss (and possibly tie) record achieved by the Green Bay team during a specific regular season.
-
E.
ChicagoBearsHomeState
Indicates that the referenced entity is the U.S. state in which the Chicago Bears are based or play their home games.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.