Triple
T13993785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank |
E336643
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
You Sent Me Flying
"You Sent Me Flying" is a soulful R&B track by British singer Amy Winehouse from her debut album "Frank."
|
E1072892
|
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: You Sent Me Flying | Statement: [Frank, hasTrack, You Sent Me Flying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Sent Me Flying Context triple: [Frank, hasTrack, You Sent Me Flying]
-
A.
Fly As Me
"Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
-
B.
Time for Me to Fly
"Time for Me to Fly" is a popular rock ballad by American band REO Speedwagon, known for its melodic hooks and enduring radio presence since the late 1970s.
-
C.
Let It Fly
"Let It Fly" is a high-energy hip-hop track by Lil Wayne featuring Travis Scott, known for its atmospheric production and melodic hooks.
-
D.
If I Could Fly
"If I Could Fly" is a melodic rock ballad by the German band Helloween, known for its emotional guitar work and soaring vocals.
-
E.
Fly with Me
"Fly with Me" is a pop rock song by the Jonas Brothers, known for its melodic hooks and emotional lyrics, featured on their 2009 album "Lines, Vines and Trying Times."
- 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: You Sent Me Flying Triple: [Frank, hasTrack, You Sent Me Flying]
Generated description
"You Sent Me Flying" is a soulful R&B track by British singer Amy Winehouse from her debut album "Frank."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You Sent Me Flying Target entity description: "You Sent Me Flying" is a soulful R&B track by British singer Amy Winehouse from her debut album "Frank."
-
A.
Fly As Me
"Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
-
B.
Time for Me to Fly
"Time for Me to Fly" is a popular rock ballad by American band REO Speedwagon, known for its melodic hooks and enduring radio presence since the late 1970s.
-
C.
Let It Fly
"Let It Fly" is a high-energy hip-hop track by Lil Wayne featuring Travis Scott, known for its atmospheric production and melodic hooks.
-
D.
If I Could Fly
"If I Could Fly" is a melodic rock ballad by the German band Helloween, known for its emotional guitar work and soaring vocals.
-
E.
Fly with Me
"Fly with Me" is a pop rock song by the Jonas Brothers, known for its melodic hooks and emotional lyrics, featured on their 2009 album "Lines, Vines and Trying Times."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbad64934481908ad35366ded9c7a0 |
completed | May 6, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbae1c5c988190bcc800d701bccca3 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 9, 2026, 10:19 p.m.