Triple
T18335956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Cutler |
E439269
|
entity |
| Predicate | offSeasonWeight |
P131417
|
FINISHED |
| Object | around 270–290 lb |
—
|
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: around 270–290 lb | Statement: [Jay Cutler, offSeasonWeight, around 270–290 lb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offSeasonWeight Context triple: [Jay Cutler, offSeasonWeight, around 270–290 lb]
-
A.
offseasonRelation
Indicates a relationship or interaction that occurs specifically during an offseason period, outside the main active or competitive season.
-
B.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
-
C.
openSeason
Indicates that a period has begun during which a particular activity (such as hunting, fishing, or competition) is officially allowed or actively underway.
-
D.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
E.
tradeSeason
Indicates a specific period or season during which trading activities or exchanges are allowed, active, or most commonly occur.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.