Triple
T14116739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olay |
E339793
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Olay Complete |
E339793
|
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: Olay Complete | Statement: [Olay, hasProductLine, Olay Complete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olay Complete Context triple: [Olay, hasProductLine, Olay Complete]
-
A.
Olay
chosen
Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
-
B.
Oyilattam
Oyilattam is a traditional folk dance of Tamil Nadu, India, characterized by rhythmic group movements and vibrant steps often performed during festivals and rural celebrations.
-
C.
Uolaytta
Uolaytta is an alternative name for Wolaytta, an Omotic language spoken by the Wolaytta people in southern Ethiopia.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Olgossa
Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.