Triple

T12203505
Position Surface form Disambiguated ID Type / Status
Subject Boys & Girls E290772 entity
Predicate hasSingle P3282 FINISHED
Object I Found You E290781 NE FINISHED

How this triple was built (2 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 Found You | Statement: [Boys & Girls, hasSingle, I Found You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Found You
Context triple: [Boys & Girls, hasSingle, I Found You]
  • A. I Found You chosen
    "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. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7b97408190a11ea37cc6edf18c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e549e688190967c00f437a388db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.