Triple
T18093343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti- |
E433024
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object |
Dr. Dog
Dr. Dog is an American indie rock band known for its lo-fi aesthetic, psychedelic influences, and harmony-rich songwriting.
|
E1305388
|
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: Dr. Dog | Statement: [Anti-, hasArtist, Dr. Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Dog Context triple: [Anti-, hasArtist, Dr. Dog]
-
A.
The Dodos
The Dodos are an American indie rock band known for their rhythmic, percussion-driven sound and intricate guitar work.
-
B.
The Sheepdogs
The Sheepdogs are a Canadian rock band known for their retro, guitar-driven sound and for being the first unsigned act to appear on the cover of Rolling Stone magazine.
-
C.
The Mountain Goats
The Mountain Goats are an American indie folk-rock band led by singer-songwriter John Darnielle, known for their narrative-driven lyrics and lo-fi origins.
-
D.
Blind Pilot
Blind Pilot is an American indie folk band known for its melodic, introspective songs and acoustic-driven sound.
-
E.
The Greenhornes
The Greenhornes are an American garage rock band from Cincinnati, Ohio, known for their raw, retro-influenced sound and collaborations with members of The White Stripes and The Raconteurs.
- 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: Dr. Dog Triple: [Anti-, hasArtist, Dr. Dog]
Generated description
Dr. Dog is an American indie rock band known for its lo-fi aesthetic, psychedelic influences, and harmony-rich songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dr. Dog Target entity description: Dr. Dog is an American indie rock band known for its lo-fi aesthetic, psychedelic influences, and harmony-rich songwriting.
-
A.
The Dodos
The Dodos are an American indie rock band known for their rhythmic, percussion-driven sound and intricate guitar work.
-
B.
The Sheepdogs
The Sheepdogs are a Canadian rock band known for their retro, guitar-driven sound and for being the first unsigned act to appear on the cover of Rolling Stone magazine.
-
C.
The Mountain Goats
The Mountain Goats are an American indie folk-rock band led by singer-songwriter John Darnielle, known for their narrative-driven lyrics and lo-fi origins.
-
D.
Blind Pilot
Blind Pilot is an American indie folk band known for its melodic, introspective songs and acoustic-driven sound.
-
E.
The Greenhornes
The Greenhornes are an American garage rock band from Cincinnati, Ohio, known for their raw, retro-influenced sound and collaborations with members of The White Stripes and The Raconteurs.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1a75048190924ebc01da83851b |
completed | April 19, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d9d9cd48190a1f12122701e333e |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036a6df6348190893f97731da817f1 |
completed | May 12, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036b44c6008190a3b612b9e7d292f0 |
completed | May 12, 2026, 6:02 p.m. |
Created at: April 10, 2026, 10:27 a.m.