Triple
T32188418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Honest Company |
E822167
|
entity |
| Predicate | hasCertificationFocus |
P182779
|
FINISHED |
| Object | avoiding certain chemicals |
—
|
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: avoiding certain chemicals | Statement: [The Honest Company, hasCertificationFocus, avoiding certain chemicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCertificationFocus Context triple: [The Honest Company, hasCertificationFocus, avoiding certain chemicals]
-
A.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
-
B.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
C.
includesCertification
Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
-
D.
hasCertificationStandard
Indicates that an entity complies with, or is associated with, a specific certification standard.
-
E.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: May 1, 2026, 12:35 a.m.