Triple
T1627602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson Mohawke |
E35181
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
TNGHT
TNGHT is an electronic music duo known for its influential, hard-hitting trap and bass productions, consisting of Scottish producer Hudson Mohawke and Canadian producer Lunice.
|
E184899
|
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: TNGHT | Statement: [Hudson Mohawke, memberOf, TNGHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNGHT Context triple: [Hudson Mohawke, memberOf, TNGHT]
-
A.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
B.
Night Shift
"Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
-
C.
New Light
"New Light" is a 2018 pop-rock single by John Mayer known for its breezy groove, self-deprecating lyrics, and a deliberately low-budget, humorous music video.
-
D.
Neon Lights
"Neon Lights" is a song best known as the B-side to U2's 1983 single "Vertigo."
-
E.
Night
Night is Elie Wiesel’s harrowing autobiographical account of his experiences as a Jewish teenager in Nazi concentration camps during the Holocaust.
- 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: TNGHT Triple: [Hudson Mohawke, memberOf, TNGHT]
Generated description
TNGHT is an electronic music duo known for its influential, hard-hitting trap and bass productions, consisting of Scottish producer Hudson Mohawke and Canadian producer Lunice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TNGHT Target entity description: TNGHT is an electronic music duo known for its influential, hard-hitting trap and bass productions, consisting of Scottish producer Hudson Mohawke and Canadian producer Lunice.
-
A.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
B.
Night Shift
"Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
-
C.
New Light
"New Light" is a 2018 pop-rock single by John Mayer known for its breezy groove, self-deprecating lyrics, and a deliberately low-budget, humorous music video.
-
D.
Neon Lights
"Neon Lights" is a song best known as the B-side to U2's 1983 single "Vertigo."
-
E.
Night
Night is Elie Wiesel’s harrowing autobiographical account of his experiences as a Jewish teenager in Nazi concentration camps during the Holocaust.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d3808c819086a4a66e66905e8a |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad5a7f592881909b8fd45444e6d715 |
completed | March 8, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5b64a1f0819087338ee504f70f5c |
completed | March 8, 2026, 11:20 a.m. |
Created at: March 4, 2026, 7:28 p.m.