Triple
T542572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Records |
E12661
|
entity |
| Predicate | rosterIncludes |
P3191
|
FINISHED |
| Object |
Lord Huron
Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
|
E69617
|
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: Lord Huron | Statement: [Republic Records, rosterIncludes, Lord Huron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Huron Context triple: [Republic Records, rosterIncludes, Lord Huron]
-
A.
Blue October
Blue October is an American alternative rock band known for emotionally charged songs like "Hate Me" and "Into the Ocean."
-
B.
Anberlin
Anberlin is an American alternative rock band known for its melodic sound, emotionally charged lyrics, and success in the 2000s Christian and mainstream rock scenes.
-
C.
Against the Day
Against the Day is a sprawling, genre-blending historical novel by Thomas Pynchon that spans the late 19th and early 20th centuries, weaving together adventure, science, politics, and metaphysical speculation.
-
D.
Dawes
Dawes is an American folk-rock band known for its Laurel Canyon-inspired sound and introspective songwriting.
-
E.
Milwaukee Deep
Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
- 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: Lord Huron Triple: [Republic Records, rosterIncludes, Lord Huron]
Generated description
Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lord Huron Target entity description: Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
-
A.
Blue October
Blue October is an American alternative rock band known for emotionally charged songs like "Hate Me" and "Into the Ocean."
-
B.
Anberlin
Anberlin is an American alternative rock band known for its melodic sound, emotionally charged lyrics, and success in the 2000s Christian and mainstream rock scenes.
-
C.
Against the Day
Against the Day is a sprawling, genre-blending historical novel by Thomas Pynchon that spans the late 19th and early 20th centuries, weaving together adventure, science, politics, and metaphysical speculation.
-
D.
Dawes
Dawes is an American folk-rock band known for its Laurel Canyon-inspired sound and introspective songwriting.
-
E.
Milwaukee Deep
Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d278cf88190ad1368da91a7014f |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e63063388190bece9d3b8cc027b8 |
completed | March 2, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69a4e6fe6d608190b8b182702399e340 |
completed | March 2, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4e757a8ec8190b0e4990555855b73 |
completed | March 2, 2026, 1:26 a.m. |
Created at: March 1, 2026, 7:32 p.m.