Triple
T11227688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisha Thompson |
E265737
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lunar |
E741030
|
NE FINISHED |
How this triple was built (2 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: [Keisha Thompson, notableWork, Lunar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunar Context triple: [Keisha Thompson, notableWork, Lunar]
-
A.
Lunar
chosen
Lunar is a classic Japanese role-playing game series known for its character-driven storytelling, emotional narratives, and memorable fantasy world.
-
B.
Lunay
Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
-
C.
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.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad33fdf48190a7118c7c30577ec9 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.