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.