Triple
T2784821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unilever |
E61784
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Domestos
Domestos is a widely sold household cleaning and disinfectant brand known for its powerful bleach-based products.
|
E297566
|
NE FINISHED |
How this triple was built (4 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: Domestos | Statement: [Unilever, hasBrand, Domestos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domestos Context triple: [Unilever, hasBrand, Domestos]
-
A.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
-
B.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
-
C.
Irish Spring
Irish Spring is a popular personal care brand best known for its strongly scented bar soaps and body washes marketed for their invigorating, “fresh” feel.
-
D.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
E.
Wormit
Wormit is a small village in Fife, Scotland, situated on the south bank of the River Tay near the Tay Rail Bridge.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Domestos Triple: [Unilever, hasBrand, Domestos]
Generated description
Domestos is a widely sold household cleaning and disinfectant brand known for its powerful bleach-based products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Domestos Target entity description: Domestos is a widely sold household cleaning and disinfectant brand known for its powerful bleach-based products.
-
A.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
-
B.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
-
C.
Irish Spring
Irish Spring is a popular personal care brand best known for its strongly scented bar soaps and body washes marketed for their invigorating, “fresh” feel.
-
D.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
E.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
- F. None of above. chosen
Provenance (5 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddaf223c8190959bb0b336e5b7c0 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0629e8c81909b55d9838e681ba2 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc15513f48190a22f83571be2e0bd |
completed | March 10, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1c9440c8190abf9dc063109af45 |
completed | March 10, 2026, 7:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.