Triple
T16946244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG V series |
E411075
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
LG V20
The LG V20 is a high-end Android smartphone released in 2016, known for its dual-screen design, advanced audio features, and focus on multimedia performance.
|
E1242822
|
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: LG V20 | Statement: [LG V series, hasModel, LG V20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG V20 Context triple: [LG V series, hasModel, LG V20]
-
A.
LG V10
The LG V10 is a high-end Android smartphone known for its secondary ticker display, dual front cameras, and durable design.
-
B.
LG G5
The LG G5 is a modular Android smartphone released by LG in 2016, notable for its removable battery and support for plug-in hardware accessories.
-
C.
LG G2
The LG G2 is a flagship Android smartphone released by LG in 2013, known for its slim bezels, rear-mounted buttons, and strong performance for its time.
-
D.
LG G6
The LG G6 is a 2017 flagship Android smartphone from LG, notable for its slim-bezel 18:9 display, dual rear cameras, and premium water-resistant design.
-
E.
LG G3
The LG G3 is a 2014 flagship Android smartphone from LG, known for its high-resolution Quad HD display, laser autofocus camera, and slim-bezel design.
- 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: LG V20 Triple: [LG V series, hasModel, LG V20]
Generated description
The LG V20 is a high-end Android smartphone released in 2016, known for its dual-screen design, advanced audio features, and focus on multimedia performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LG V20 Target entity description: The LG V20 is a high-end Android smartphone released in 2016, known for its dual-screen design, advanced audio features, and focus on multimedia performance.
-
A.
LG V10
The LG V10 is a high-end Android smartphone known for its secondary ticker display, dual front cameras, and durable design.
-
B.
LG G5
The LG G5 is a modular Android smartphone released by LG in 2016, notable for its removable battery and support for plug-in hardware accessories.
-
C.
LG G2
The LG G2 is a flagship Android smartphone released by LG in 2013, known for its slim bezels, rear-mounted buttons, and strong performance for its time.
-
D.
LG G6
The LG G6 is a 2017 flagship Android smartphone from LG, notable for its slim-bezel 18:9 display, dual rear cameras, and premium water-resistant design.
-
E.
LG G3
The LG G3 is a 2014 flagship Android smartphone from LG, known for its high-resolution Quad HD display, laser autofocus camera, and slim-bezel design.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb25e0c8190948e62d9575ae9cd |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46036108190a3ed8cb9f80c47fb |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d56c6dac81909ee95bd3ae190226 |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d61da80081909bafed03694799bb |
completed | May 10, 2026, 7:01 p.m. |
Created at: April 10, 2026, 5:31 a.m.