Triple
T8539094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar: Eternal Blue |
E202150
|
entity |
| Predicate | series |
P1761
|
FINISHED |
| Object |
Lunar
Lunar is a classic Japanese role-playing game series known for its character-driven storytelling, emotional narratives, and memorable fantasy world.
|
E741030
|
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: Lunar | Statement: [Lunar: Eternal Blue, series, Lunar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunar Context triple: [Lunar: Eternal Blue, series, Lunar]
-
A.
Lunay
Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
-
B.
Moon Ra
Moon Ra is a fictional character or element from Jon Anderson’s progressive rock concept album "Olias of Sunhillow," contributing to its mythic, science-fantasy narrative world.
-
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.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
- 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: Lunar Triple: [Lunar: Eternal Blue, series, Lunar]
Generated description
Lunar is a classic Japanese role-playing game series known for its character-driven storytelling, emotional narratives, and memorable fantasy world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lunar Target entity description: Lunar is a classic Japanese role-playing game series known for its character-driven storytelling, emotional narratives, and memorable fantasy world.
-
A.
Lunay
Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
-
B.
Moon Ra
Moon Ra is a fictional character or element from Jon Anderson’s progressive rock concept album "Olias of Sunhillow," contributing to its mythic, science-fantasy narrative world.
-
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.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a7441c8190980c3516073422fe |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d953fd0819094958d2b5a5a8e13 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec2d6608190a7732e999a05d565 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f7948cc8190b8248e59044cf4fb |
completed | April 2, 2026, 1:30 p.m. |
Created at: March 30, 2026, 6:18 p.m.