Triple

T3477056
Position Surface form Disambiguated ID Type / Status
Subject Surf E73398 entity
Predicate hasTrack P3284 FINISHED
Object You Song
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
 E361487 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 Song | Statement: [Surf, hasTrack, You Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Song
Context triple: [Surf, hasTrack, You Song]
  • A. My Song
    "My Song" is a musical work best known for being sampled in the track "I Wonder."
  • B. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • 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 Song
Triple: [Surf, hasTrack, You Song]
Generated description
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You Song
Target entity description: "You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
  • A. My Song
    "My Song" is a musical work best known for being sampled in the track "I Wonder."
  • B. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681822488190a9876a21236f9aa3 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b4e504819094ca0adbdbe7bfd9 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693a8d6481909dadce4ac6109ff3 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.