Triple
T16999015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liquid Paper |
E412389
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
Tipp-Ex
Tipp-Ex is a well-known brand of correction fluid and related correction products commonly used to cover typing or writing errors on paper.
|
E1245178
|
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: Tipp-Ex | Statement: [Liquid Paper, competesWith, Tipp-Ex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tipp-Ex Context triple: [Liquid Paper, competesWith, Tipp-Ex]
-
A.
Windex
Windex is a popular household cleaning product best known for its blue glass cleaner used on windows and other hard surfaces.
-
B.
Harpic
Harpic is a widely used brand of toilet and bathroom cleaning products known for its powerful disinfecting and stain-removal formulations.
-
C.
Drano
Drano is a widely used household chemical product designed to clear clogged drains and pipes.
-
D.
Mile-Ex
Mile-Ex is a small, rapidly gentrifying Montreal neighborhood known for its mix of industrial spaces, creative studios, and trendy cafes.
-
E.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
- 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: Tipp-Ex Triple: [Liquid Paper, competesWith, Tipp-Ex]
Generated description
Tipp-Ex is a well-known brand of correction fluid and related correction products commonly used to cover typing or writing errors on paper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tipp-Ex Target entity description: Tipp-Ex is a well-known brand of correction fluid and related correction products commonly used to cover typing or writing errors on paper.
-
A.
Windex
Windex is a popular household cleaning product best known for its blue glass cleaner used on windows and other hard surfaces.
-
B.
Harpic
Harpic is a widely used brand of toilet and bathroom cleaning products known for its powerful disinfecting and stain-removal formulations.
-
C.
Drano
Drano is a widely used household chemical product designed to clear clogged drains and pipes.
-
D.
Mile-Ex
Mile-Ex is a small, rapidly gentrifying Montreal neighborhood known for its mix of industrial spaces, creative studios, and trendy cafes.
-
E.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1ac518819093fac61b5598d730 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.