Triple

T9880398
Position Surface form Disambiguated ID Type / Status
Subject I Want You to Know E180786 entity
Predicate follows P134 FINISHED
Object Find You
"Find You" is a 2014 electronic dance music track by Zedd featuring Matthew Koma and Miriam Bryant, known for its melodic progressive house style and inclusion on the "Divergent" film soundtrack.
 E826981 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: Find You | Statement: [I Want You to Know, follows, Find You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Find You
Context triple: [I Want You to Know, follows, Find You]
  • A. I Found You
    "I Found You" is a song featured on the album "Boys & Girls."
  • B. I Found You
    "I Found You" is a song that served as the original version of James Brown's classic hit "I Got You (I Feel Good)."
  • C. Until I Find You
    "Until I Find You" is a semi-autobiographical novel by John Irving that follows an actor’s lifelong search for his absent father, exploring themes of memory, trauma, and identity.
  • D. Find Me Finding You
    Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
  • E. For You
    "For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
  • 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: Find You
Triple: [I Want You to Know, follows, Find You]
Generated description
"Find You" is a 2014 electronic dance music track by Zedd featuring Matthew Koma and Miriam Bryant, known for its melodic progressive house style and inclusion on the "Divergent" film soundtrack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Find You
Target entity description: "Find You" is a 2014 electronic dance music track by Zedd featuring Matthew Koma and Miriam Bryant, known for its melodic progressive house style and inclusion on the "Divergent" film soundtrack.
  • A. I Found You
    "I Found You" is a song featured on the album "Boys & Girls."
  • B. I Found You
    "I Found You" is a song that served as the original version of James Brown's classic hit "I Got You (I Feel Good)."
  • C. Until I Find You
    "Until I Find You" is a semi-autobiographical novel by John Irving that follows an actor’s lifelong search for his absent father, exploring themes of memory, trauma, and identity.
  • D. Find Me Finding You
    Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
  • E. For You
    "For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4146fe881908f9fc553dfca31e1 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e48665e88190ab8a4a30b1df8ebe completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5beb35c8190b5ee8e448d3d0107 completed April 5, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69d1e62c0638819091c7eb9b09ce20aa completed April 5, 2026, 4:33 a.m.
Created at: March 30, 2026, 8:38 p.m.