Triple
T12871372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Algeria |
E307856
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mascara |
E679166
|
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: Mascara | Statement: [Northern Algeria, contains, Mascara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mascara Context triple: [Northern Algeria, contains, Mascara]
-
A.
Mascara
chosen
Mascara is a city in northwestern Algeria known for its historical significance and role in the resistance led by Emir Abdelkader.
-
B.
Colossal mascara
Colossal mascara is a popular Maybelline New York volumizing mascara line known for delivering bold, dramatic lashes.
-
C.
Great Lash mascara
Great Lash mascara is a classic Maybelline New York cosmetic product known for its iconic pink-and-green packaging and long-standing popularity as an affordable, everyday mascara.
-
D.
Hypnôse Mascara
Hypnôse Mascara is a popular Lancôme luxury mascara line known for delivering buildable volume and dramatic, lengthened lashes.
-
E.
Make-Up
"Make-Up" is a funk-influenced pop song by Vanity 6, the female trio assembled and produced by Prince in the early 1980s.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.