Triple
T8484733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nibiru |
E200803
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Dalex
Dalex is a Puerto Rican urban Latin singer and songwriter known for his work in reggaeton and Latin trap.
|
E735726
|
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: Dalex | Statement: [Nibiru, featuresArtist, Dalex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalex Context triple: [Nibiru, featuresArtist, Dalex]
-
A.
Teyjus
Teyjus is a software system that provides a concrete implementation of the LambdaProlog logic programming language, supporting higher-order and modular logic programming.
-
B.
Decléor
Decléor is a French skincare brand renowned for its use of aromatherapy and essential oils in professional-grade facial and body treatments.
-
C.
Danjaq
Danjaq is the film production and rights-holding company best known for owning and controlling the James Bond movie franchise.
-
D.
Lélex
Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
-
E.
Darren Vegas
Darren Vegas is a hip-hop music producer best known for his work on 2Pac’s posthumous album "Until the End of Time."
- 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: Dalex Triple: [Nibiru, featuresArtist, Dalex]
Generated description
Dalex is a Puerto Rican urban Latin singer and songwriter known for his work in reggaeton and Latin trap.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalex Target entity description: Dalex is a Puerto Rican urban Latin singer and songwriter known for his work in reggaeton and Latin trap.
-
A.
Teyjus
Teyjus is a software system that provides a concrete implementation of the LambdaProlog logic programming language, supporting higher-order and modular logic programming.
-
B.
Decléor
Decléor is a French skincare brand renowned for its use of aromatherapy and essential oils in professional-grade facial and body treatments.
-
C.
Danjaq
Danjaq is the film production and rights-holding company best known for owning and controlling the James Bond movie franchise.
-
D.
Lélex
Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
-
E.
Darren Vegas
Darren Vegas is a hip-hop music producer best known for his work on 2Pac’s posthumous album "Until the End of Time."
- 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.