Triple
T272470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think |
E5664
|
entity |
| Predicate | inspired |
P9
|
FINISHED |
| Object |
ThinkVision brand name
ThinkVision is Lenovo’s line of professional-grade computer monitors known for their reliability, ergonomic design, and business-focused features.
|
E35352
|
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: ThinkVision brand name | Statement: [Think, inspired, ThinkVision brand name]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ThinkVision brand name Context triple: [Think, inspired, ThinkVision brand name]
-
A.
Logos
Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
-
B.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
C.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
-
D.
Casio
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
E.
Technicolor
Technicolor is a pioneering color motion picture process and company renowned for its vivid, saturated hues in classic Hollywood films.
- 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: ThinkVision brand name Triple: [Think, inspired, ThinkVision brand name]
Generated description
ThinkVision is Lenovo’s line of professional-grade computer monitors known for their reliability, ergonomic design, and business-focused features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ThinkVision brand name Target entity description: ThinkVision is Lenovo’s line of professional-grade computer monitors known for their reliability, ergonomic design, and business-focused features.
-
A.
Logos
Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
-
B.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
C.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
-
D.
Casio
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
E.
Technicolor
Technicolor is a pioneering color motion picture process and company renowned for its vivid, saturated hues in classic Hollywood films.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f537f1c8190a59ac4669498a3fc |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a38fbfac808190b2b551dcbfe6faff |
completed | March 1, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3903779e88190a00c44a522e82022 |
completed | March 1, 2026, 1:02 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.