Triple
T15833448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucid Group |
E383926
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Lucid
Lucid is an American luxury electric vehicle brand known for its high-performance, long-range sedans and advanced EV technology.
|
E1180419
|
NE FINISHED |
How this triple was built (4 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: Lucid | Statement: [Lucid Group, hasBrand, Lucid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucid Context triple: [Lucid Group, hasBrand, Lucid]
-
A.
Lucid
Lucid is the surname of American biochemist and NASA astronaut Shannon Lucid, known for her long-duration spaceflights and record-setting time spent in orbit.
-
B.
Lucid
"Lucid" is a dance-pop single by Japanese-British singer-songwriter Rina Sawayama, known for its glossy production and euphoric, club-ready sound.
-
C.
Lucid Dreams
"Lucid Dreams" is a song best known as a breakout emo-rap hit by Juice WRLD that blends melodic vocals with introspective lyrics about heartbreak and emotional pain.
-
D.
Lucidor
Lucidor is a literary work by Austrian writer Hugo von Hofmannsthal, reflecting his characteristic blend of lyrical language and psychological depth.
-
E.
Luminal
Luminal is a track from GZA's acclaimed hip-hop album "Legend of the Liquid Sword," known for its intricate lyricism and atmospheric production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lucid Triple: [Lucid Group, hasBrand, Lucid]
Generated description
Lucid is an American luxury electric vehicle brand known for its high-performance, long-range sedans and advanced EV technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucid Target entity description: Lucid is an American luxury electric vehicle brand known for its high-performance, long-range sedans and advanced EV technology.
-
A.
Lucid
Lucid is the surname of American biochemist and NASA astronaut Shannon Lucid, known for her long-duration spaceflights and record-setting time spent in orbit.
-
B.
Lucid
"Lucid" is a dance-pop single by Japanese-British singer-songwriter Rina Sawayama, known for its glossy production and euphoric, club-ready sound.
-
C.
Lucid Dreams
"Lucid Dreams" is a song best known as a breakout emo-rap hit by Juice WRLD that blends melodic vocals with introspective lyrics about heartbreak and emotional pain.
-
D.
Lucidor
Lucidor is a literary work by Austrian writer Hugo von Hofmannsthal, reflecting his characteristic blend of lyrical language and psychological depth.
-
E.
Luminal
Luminal is a track from GZA's acclaimed hip-hop album "Legend of the Liquid Sword," known for its intricate lyricism and atmospheric production.
- F. None of above. chosen
Provenance (5 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa137be2c81909c8f04b5cc1a5b21 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa527af048190b1f87d85e50bf254 |
completed | May 9, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5df00e481909e203e78940395ed |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:49 a.m.