Triple
T6874314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cicaplast |
E158634
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Cicaplast Levres Lip Balm |
E158634
|
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: Cicaplast Levres Lip Balm | Statement: [Cicaplast, product, Cicaplast Levres Lip Balm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cicaplast Levres Lip Balm Context triple: [Cicaplast, product, Cicaplast Levres Lip Balm]
-
A.
ChapStick lip balm
ChapStick lip balm is a popular brand of medicated and moisturizing lip balm widely used to prevent and treat chapped lips.
-
B.
Cicaplast
chosen
Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
-
C.
Blistex
Blistex is an American company best known for producing lip care and other medicated skin care products.
-
D.
Vaseline
Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
-
E.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c8d3888190b1c1f74aa66d6071 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742b66ca08190bed17fa3ab6733ef |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.