Triple
T12840223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Foreman Grill |
E307028
|
entity |
| Predicate | healthClaim |
P4133
|
FINISHED |
| Object | reduces fat by allowing grease to drain away |
—
|
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: reduces fat by allowing grease to drain away | Statement: [George Foreman Grill, healthClaim, reduces fat by allowing grease to drain away]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthClaim Context triple: [George Foreman Grill, healthClaim, reduces fat by allowing grease to drain away]
-
A.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
-
B.
benefitAdministered
Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
-
C.
supportsClaim
chosen
Indicates that one entity provides evidence, reasoning, or backing that strengthens or validates the truth or credibility of another entity’s claim.
-
D.
CanadaClaimsAs
Indicates that Canada asserts ownership, sovereignty, or jurisdiction over the referenced entity or territory.
-
E.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.