Triple
T8637279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highest in the Room |
E204553
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nik D
Nik D is a music producer best known for his work on Travis Scott’s hit single “Highest in the Room.”
|
E747155
|
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: Nik D | Statement: [Highest in the Room, producer, Nik D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nik D Context triple: [Highest in the Room, producer, Nik D]
-
A.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
B.
NIKL
NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
-
C.
Nic
Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
-
D.
Nic
Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
-
E.
Nic
Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
- 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: Nik D Triple: [Highest in the Room, producer, Nik D]
Generated description
Nik D is a music producer best known for his work on Travis Scott’s hit single “Highest in the Room.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nik D Target entity description: Nik D is a music producer best known for his work on Travis Scott’s hit single “Highest in the Room.”
-
A.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
B.
NIKL
NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
-
C.
Nic
Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
-
D.
Nic
Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
-
E.
Nic
Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc2c2b84819087a9f23b47c607e8 |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebd4633f08190971d5d67e5a7496a |
completed | April 2, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebe12fa94819099e37ed9e5cd83b7 |
completed | April 2, 2026, 7:05 p.m. |
Created at: March 30, 2026, 6:27 p.m.