Triple
T2191526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1985 Chicago Bears season |
E49871
|
entity |
| Predicate | shutoutsInPlayoffs |
P36664
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1985 Chicago Bears season, shutoutsInPlayoffs, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shutoutsInPlayoffs Context triple: [1985 Chicago Bears season, shutoutsInPlayoffs, 2]
-
A.
shutoutsInSeries
Indicates the number of games in a series where one side prevented the other from scoring any points.
-
B.
shutouts
Indicates that one participant prevents the opposing side from scoring any points during a game or contest.
-
C.
allGamesCompleteGameShutouts
Indicates that every game in the relevant set was a complete game in which the opposing team was held scoreless (a shutout).
-
D.
pitchedShutoutIn
Indicates that an individual (typically a pitcher) completed a game in a particular event or season without allowing the opposing team to score any runs.
-
E.
numberOfNHLShutouts
Indicates the total count of shutout games a player has recorded in National Hockey League (NHL) play.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:46 p.m.