Triple
T6874406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigmentclar |
E158636
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Pigmentclar Eyes |
E158636
|
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: Pigmentclar Eyes | Statement: [Pigmentclar, hasProduct, Pigmentclar Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pigmentclar Eyes Context triple: [Pigmentclar, hasProduct, Pigmentclar Eyes]
-
A.
Pigmentclar
chosen
Pigmentclar is a La Roche-Posay skincare range formulated to target dark spots and uneven skin tone, promoting a brighter, more uniform complexion.
-
B.
Rénergie Yeux
Rénergie Yeux is an eye-care product line from Lancôme’s anti-aging Rénergie range, formulated to target wrinkles, firmness, and visible signs of aging around the eye area.
-
C.
Green Eyes
"Green Eyes" is a soulful, jazz-inflected R&B song by Erykah Badu from her acclaimed album *Mama’s Gun*, noted for its emotional vulnerability and evolving three-part structure.
-
D.
Albino
Albino is the given name of Pope John Paul I, the Italian pontiff who led the Catholic Church briefly in 1978.
-
E.
Albino
Albino is a municipality in the Lombardy region of northern Italy, known for its location in the Seriana Valley near Bergamo.
- 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.