Triple
T14226235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan (1954 musical) |
E352622
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
I'm Flying
"I'm Flying" is a signature, exuberant song from the 1954 Broadway musical *Peter Pan*, typically performed during the magical flying sequence.
|
E1087081
|
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: I'm Flying | Statement: [Peter Pan (1954 musical), hasSong, I'm Flying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Flying Context triple: [Peter Pan (1954 musical), hasSong, I'm Flying]
-
A.
You Sent Me Flying
"You Sent Me Flying" is a soulful R&B track by British singer Amy Winehouse from her debut album "Frank."
-
B.
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.
-
C.
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."
-
D.
Come Fly with Me
Come Fly with Me is a classic 1958 vocal jazz and traditional pop album by Frank Sinatra, themed around travel and widely regarded as one of his signature works.
-
E.
Come Fly with Me
Come Fly with Me is a British mockumentary-style sketch comedy series created by and starring David Walliams and Matt Lucas that parodies the lives of staff and passengers in fictional airports.
- 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: I'm Flying Triple: [Peter Pan (1954 musical), hasSong, I'm Flying]
Generated description
"I'm Flying" is a signature, exuberant song from the 1954 Broadway musical *Peter Pan*, typically performed during the magical flying sequence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I'm Flying Target entity description: "I'm Flying" is a signature, exuberant song from the 1954 Broadway musical *Peter Pan*, typically performed during the magical flying sequence.
-
A.
You Sent Me Flying
"You Sent Me Flying" is a soulful R&B track by British singer Amy Winehouse from her debut album "Frank."
-
B.
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.
-
C.
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."
-
D.
Come Fly with Me
Come Fly with Me is a classic 1958 vocal jazz and traditional pop album by Frank Sinatra, themed around travel and widely regarded as one of his signature works.
-
E.
Come Fly with Me
Come Fly with Me is a British mockumentary-style sketch comedy series created by and starring David Walliams and Matt Lucas that parodies the lives of staff and passengers in fictional airports.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281801488190bcb17d27ee18cde6 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29a470a08190b18c184466bbe0a9 |
completed | May 8, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a61842481909388c83480482aeb |
completed | May 8, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:06 a.m.