Triple
T13868983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unknown Mortal Orchestra |
E333400
|
entity |
| Predicate | hasNotableSong |
P20452
|
FINISHED |
| Object |
Ffunny Ffrends
"Ffunny Ffrends" is a lo-fi psychedelic rock track by Unknown Mortal Orchestra that helped establish the band's distinctive sound and early popularity.
|
E1066312
|
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: Ffunny Ffrends | Statement: [Unknown Mortal Orchestra, hasNotableSong, Ffunny Ffrends]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ffunny Ffrends Context triple: [Unknown Mortal Orchestra, hasNotableSong, Ffunny Ffrends]
-
A.
r/funny
r/funny is one of Reddit’s largest and most popular communities dedicated to sharing humorous content, including jokes, memes, and funny images or videos.
-
B.
FUN!
"FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
-
C.
FUN
FUN is the IATA airport code for Funafuti International Airport, the main air gateway to the island nation of Tuvalu.
-
D.
FUN
FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
-
E.
Laff
Laff is an American digital multicast television network specializing in comedy programming, including sitcoms and comedic movies.
- 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: Ffunny Ffrends Triple: [Unknown Mortal Orchestra, hasNotableSong, Ffunny Ffrends]
Generated description
"Ffunny Ffrends" is a lo-fi psychedelic rock track by Unknown Mortal Orchestra that helped establish the band's distinctive sound and early popularity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ffunny Ffrends Target entity description: "Ffunny Ffrends" is a lo-fi psychedelic rock track by Unknown Mortal Orchestra that helped establish the band's distinctive sound and early popularity.
-
A.
r/funny
r/funny is one of Reddit’s largest and most popular communities dedicated to sharing humorous content, including jokes, memes, and funny images or videos.
-
B.
FUN!
"FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
-
C.
FUN
FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
-
D.
FUN
FUN is the IATA airport code for Funafuti International Airport, the main air gateway to the island nation of Tuvalu.
-
E.
Laff
Laff is an American digital multicast television network specializing in comedy programming, including sitcoms and comedic movies.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c105da548190b908a54fec029236 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e7efd88190ac07472647da69e7 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.