Triple
T21441778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Lied |
E528954
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Bad Sneakers
"Bad Sneakers" is a jazz-rock song by Steely Dan, known for its sophisticated harmonies, cryptic lyrics, and polished studio production.
|
E1484705
|
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: Bad Sneakers | Statement: [Katy Lied, track, Bad Sneakers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Sneakers Context triple: [Katy Lied, track, Bad Sneakers]
-
A.
White Shoes
"White Shoes" is a 1983 country album by Emmylou Harris that blends traditional country with pop and rock influences.
-
B.
Sticky Shoes
"Sticky Shoes" is a quirky, comedic song performed by the character Phoebe Buffay on the TV show Friends, exemplifying her offbeat musical style.
-
C.
Big Boots
"Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
-
D.
Thunderpants
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
-
E.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
- 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: Bad Sneakers Triple: [Katy Lied, track, Bad Sneakers]
Generated description
"Bad Sneakers" is a jazz-rock song by Steely Dan, known for its sophisticated harmonies, cryptic lyrics, and polished studio production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Sneakers Target entity description: "Bad Sneakers" is a jazz-rock song by Steely Dan, known for its sophisticated harmonies, cryptic lyrics, and polished studio production.
-
A.
White Shoes
"White Shoes" is a 1983 country album by Emmylou Harris that blends traditional country with pop and rock influences.
-
B.
Sticky Shoes
"Sticky Shoes" is a quirky, comedic song performed by the character Phoebe Buffay on the TV show Friends, exemplifying her offbeat musical style.
-
C.
Big Boots
"Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
-
D.
Thunderpants
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
-
E.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7022a5081908d9ad5058cecb8e5 |
completed | April 22, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90127ec8190a82c20c4168ad7c3 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c993004c81909cc0224947c178e0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca14cfcc81908565427b504d815e |
completed | May 17, 2026, 2 p.m. |
Created at: April 16, 2026, 6:05 p.m.