Triple
T4875236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Hochuli |
E109185
|
entity |
| Predicate | promotionEffectiveSeason |
P23581
|
FINISHED |
| Object | 2018 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: 2018 NFL season | Statement: [Shawn Hochuli, promotionEffectiveSeason, 2018 NFL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotionEffectiveSeason Context triple: [Shawn Hochuli, promotionEffectiveSeason, 2018 NFL season]
-
A.
promotionSeason
chosen
Indicates the specific season or time period during which a promotion or promotional campaign is active.
-
B.
promotionOver
Indicates that one entity has been promoted to a higher rank, position, or status relative to another entity.
-
C.
hasSeasonalHighlight
Indicates that something features a notable or emphasized aspect during a particular season or time of year.
-
D.
promotionType
Indicates the specific kind or category of promotion associated with an entity or event.
-
E.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.