Triple
T17260578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvins |
E418996
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lysol |
E939210
|
NE 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: Lysol | Statement: [Melvins, notableWork, Lysol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysol Context triple: [Melvins, 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.
Windex
Windex is a popular household cleaning product best known for its blue glass cleaner used on windows and other hard surfaces.
-
E.
Lysolaje
Lysolaje is a residential district and former village in the northwestern part of Prague, known for its green spaces and proximity to natural reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e70b00c8190b0380be08afae18d |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017101d5dc8190ac6507344897b0f3 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.