Triple
T37600583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Faced |
E935511
|
entity |
| Predicate | animalTestingPolicy |
P70949
|
FINISHED |
| Object | cruelty-free |
—
|
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: cruelty-free | Statement: [Too Faced, animalTestingPolicy, cruelty-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalTestingPolicy Context triple: [Too Faced, animalTestingPolicy, cruelty-free]
-
A.
animalWelfarePractice
chosen
Indicates practices, actions, or policies that affect the well-being, treatment, and living conditions of animals.
-
B.
hasLaboratoryAnimal
Indicates that an entity uses, keeps, or is associated with a particular animal for laboratory or experimental purposes.
-
C.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
D.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
E.
treatsHumanely
Indicates that one entity interacts with or cares for another in a way that respects their well-being, dignity, and humane treatment.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.