Triple
T11650823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reckitt Benckiser |
E276898
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Veet
Veet is a widely sold brand of chemical depilatory products used for at-home hair removal.
|
E938976
|
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: Veet | Statement: [Reckitt Benckiser, product, Veet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veet Context triple: [Reckitt Benckiser, product, Veet]
-
A.
Nair
Nair is a common Indian surname and community name, particularly associated with a historically influential Hindu caste group from the state of Kerala.
-
B.
MVMT
MVMT is a contemporary watch and accessories brand known for its minimalist designs, direct-to-consumer online sales model, and affordable pricing aimed at younger consumers.
-
C.
Neutrogena Wing
Neutrogena Wing is a dedicated gallery space within the Museum of International Folk Art that showcases a significant collection of global folk and traditional arts.
-
D.
Scholl
Scholl is the surname of Sophie Scholl, the German student and anti-Nazi resistance member known for her role in the White Rose movement during World War II.
-
E.
Essie
Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
- 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: Veet Triple: [Reckitt Benckiser, product, Veet]
Generated description
Veet is a widely sold brand of chemical depilatory products used for at-home hair removal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veet Target entity description: Veet is a widely sold brand of chemical depilatory products used for at-home hair removal.
-
A.
Nair
Nair is a common Indian surname and community name, particularly associated with a historically influential Hindu caste group from the state of Kerala.
-
B.
MVMT
MVMT is a contemporary watch and accessories brand known for its minimalist designs, direct-to-consumer online sales model, and affordable pricing aimed at younger consumers.
-
C.
Neutrogena Wing
Neutrogena Wing is a dedicated gallery space within the Museum of International Folk Art that showcases a significant collection of global folk and traditional arts.
-
D.
Scholl
Scholl is the surname of Sophie Scholl, the German student and anti-Nazi resistance member known for her role in the White Rose movement during World War II.
-
E.
Essie
Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.