Triple
T8290082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aero theme |
E193871
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object |
Luna theme
Luna theme is the default visual style introduced with Windows XP, featuring colorful, rounded interface elements that replaced the older Windows 2000-era look.
|
E723443
|
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: Luna theme | Statement: [Aero theme, replaced, Luna theme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna theme Context triple: [Aero theme, replaced, Luna theme]
-
A.
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
B.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
C.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
D.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
E.
Twilite Tone
Twilite Tone is a Chicago-based hip-hop producer and DJ known for his work with artists like Common and Kanye West.
- 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: Luna theme Triple: [Aero theme, replaced, Luna theme]
Generated description
Luna theme is the default visual style introduced with Windows XP, featuring colorful, rounded interface elements that replaced the older Windows 2000-era look.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luna theme Target entity description: Luna theme is the default visual style introduced with Windows XP, featuring colorful, rounded interface elements that replaced the older Windows 2000-era look.
-
A.
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
B.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
C.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
D.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
E.
Twilite Tone
Twilite Tone is a Chicago-based hip-hop producer and DJ known for his work with artists like Common and Kanye West.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68916c5481908c42f259298b0670 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d567c3c81908a7ec5bc13be529d |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e3e2f848190a22ad8739bb8e298 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.