Triple
T1670593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Cutler |
E36114
|
entity |
| Predicate | statCategory |
P5184
|
FINISHED |
| Object | passing yards |
—
|
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: passing yards | Statement: [Jay Cutler, statCategory, passing yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statCategory Context triple: [Jay Cutler, statCategory, passing yards]
-
A.
hasStatisticalLeaderCategory
chosen
Indicates that an entity is associated with a specific category under which it is recognized as a statistical leader (e.g., in performance metrics or records).
-
B.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
categoryStatus
Indicates the current state or condition assigned to a category within a given system or context.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.