Triple
T16000959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesebrough Manufacturing Company |
E388089
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Vaseline |
E297556
|
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: Vaseline | Statement: [Chesebrough Manufacturing Company, notableProduct, Vaseline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaseline Context triple: [Chesebrough Manufacturing Company, notableProduct, Vaseline]
-
A.
Vaseline
chosen
Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
-
B.
ChapStick lip balm
ChapStick lip balm is a popular brand of medicated and moisturizing lip balm widely used to prevent and treat chapped lips.
-
C.
Cicaplast
Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
-
D.
Wax
Wax was a 1980s pop-rock duo featuring Andrew Gold and Graham Gouldman, best known for their catchy, synth-driven hit "Building a Bridge to Your Heart."
-
E.
Wax
"Wax" is a 1935 mystery novel by British crime writer Ethel Lina White, centered on sinister events surrounding a waxworks museum.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fba9748190ac8fc27b167d49f7 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d99ca08190a3d07a0802b1b24a |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.