Triple
T8484739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nibiru |
E200803
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Lunay
Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
|
E735730
|
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: Lunay | Statement: [Nibiru, featuresArtist, Lunay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunay Context triple: [Nibiru, featuresArtist, Lunay]
-
A.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
B.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
C.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
D.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
E.
Lilakoi Moon
Lilakoi Moon is the legal name of American actress Lisa Bonet, known for her role as Denise Huxtable on "The Cosby Show" and its spin-off "A Different World."
- 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: Lunay Triple: [Nibiru, featuresArtist, Lunay]
Generated description
Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lunay Target entity description: Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
-
A.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
B.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
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 protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
E.
Lilakoi Moon
Lilakoi Moon is the legal name of American actress Lisa Bonet, known for her role as Denise Huxtable on "The Cosby Show" and its spin-off "A Different World."
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a3d7cb481908b366f76639bb955 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b1f6f7c8190927b5e2684ae207b |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3b9d38e081909be10cb209b15427 |
completed | April 2, 2026, 9:49 a.m. |
Created at: March 30, 2026, 6:12 p.m.