Triple

T13993786
Position Surface form Disambiguated ID Type / Status
Subject Frank E336643 entity
Predicate hasTrack P3284 FINISHED
Object Know You Now
"Know You Now" is a soulful, jazz-inflected song by English singer-songwriter Amy Winehouse from her debut album "Frank."
 E1072893 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: Know You Now | Statement: [Frank, hasTrack, Know You Now]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Know You Now
Context triple: [Frank, hasTrack, Know You Now]
  • A. Know You Know
    "Know You Know" is a track by British singer-songwriter Lil Peep from his posthumous compilation album "Everybody's Everything."
  • B. Let Me Know You
    "Let Me Know You" is a jazz-fusion album by renowned bassist and composer Stanley Clarke, showcasing his virtuosic playing and genre-blending style.
  • C. Everything There Is to Know About You
    "Everything There Is to Know About You" is a country song recorded by American singer Mark Wills.
  • D. Knowing Me, Knowing You
    "Knowing Me, Knowing You" is a 1977 pop song by the Swedish group ABBA, known for its melancholic lyrics about the end of a relationship and its distinctive harmonies.
  • E. I Want You to Know
    "I Want You to Know" is a 2015 EDM-pop single by Zedd featuring Selena Gomez that became a commercial hit for its catchy, danceable production and emotive vocals.
  • 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: Know You Now
Triple: [Frank, hasTrack, Know You Now]
Generated description
"Know You Now" is a soulful, jazz-inflected song by English singer-songwriter Amy Winehouse from her debut album "Frank."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Know You Now
Target entity description: "Know You Now" is a soulful, jazz-inflected song by English singer-songwriter Amy Winehouse from her debut album "Frank."
  • A. Know You Know
    "Know You Know" is a track by British singer-songwriter Lil Peep from his posthumous compilation album "Everybody's Everything."
  • B. Let Me Know You
    "Let Me Know You" is a jazz-fusion album by renowned bassist and composer Stanley Clarke, showcasing his virtuosic playing and genre-blending style.
  • C. Everything There Is to Know About You
    "Everything There Is to Know About You" is a country song recorded by American singer Mark Wills.
  • D. Knowing Me, Knowing You
    "Knowing Me, Knowing You" is a 1977 pop song by the Swedish group ABBA, known for its melancholic lyrics about the end of a relationship and its distinctive harmonies.
  • E. I Want You to Know
    "I Want You to Know" is a 2015 EDM-pop single by Zedd featuring Selena Gomez that became a commercial hit for its catchy, danceable production and emotive vocals.
  • 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.