Triple
T19985998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Black |
E493932
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lysol |
—
|
NE NERFINISHED |
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: Lysol | Statement: [Lori Black, notableWork, Lysol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysol Context triple: [Lori Black, notableWork, Lysol]
-
A.
Lysol
chosen
Lysol is a well-known brand of household disinfectant and cleaning products widely used for sanitizing surfaces and killing germs.
-
B.
Domestos
Domestos is a widely sold household cleaning and disinfectant brand known for its powerful bleach-based products.
-
C.
Dettol
Dettol is a widely used antiseptic and disinfectant brand known for its germ-killing cleaning and personal hygiene products.
-
D.
Clorox
Clorox is a major American consumer goods company best known for its household cleaning and disinfecting products, including its flagship bleach brand.
-
E.
Windex
Windex is a popular household cleaning product best known for its blue glass cleaner used on windows and other hard surfaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.