Triple
T974759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Defensive Player of the Year |
E21026
|
entity |
| Predicate | positionEligible |
P22726
|
FINISHED |
| Object | defensive end |
—
|
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: defensive end | Statement: [NFL Defensive Player of the Year, positionEligible, defensive end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionEligible Context triple: [NFL Defensive Player of the Year, positionEligible, defensive end]
-
A.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
B.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
C.
eligibilityUnit
Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
-
D.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
-
E.
eligibleBorrower
Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b460a5c0819087b03dfb8a3af2c2 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.