Triple
T11934910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lux et Veritas |
E284012
|
entity |
| Predicate | componentWord |
P35
|
FINISHED |
| Object | Lux |
E297550
|
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: Lux | Statement: [Lux et Veritas, componentWord, Lux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lux Context triple: [Lux et Veritas, componentWord, Lux]
-
A.
Lux
chosen
Lux is a long-established global beauty soap and personal care brand known for its association with glamour and film stars.
-
B.
Lux
Lux is the nickname of Meade Lux Lewis, an influential American boogie-woogie pianist and composer known for his energetic piano style.
-
C.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
D.
Luc
Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
-
E.
Lexuz
Lexuz is a music producer known for crafting tracks such as those for the artist Colores.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4408d497c8190b051225140125e1f |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.