Triple

T20664307
Position Surface form Disambiguated ID Type / Status
Subject I See You E507842 entity
Predicate title P38 FINISHED
Object I See You NE NERFINISHED

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 See You | Statement: [I See You, title, I See You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I See You
Context triple: [I See You, title, I See You]
  • A. I See You chosen
    "I See You" is the third studio album by English indie pop band The xx, known for its atmospheric production and introspective songwriting.
  • B. I See You
    "I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
  • C. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • D. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • E. I Can See You
    "I Can See You" is a song by the American metalcore band The Devil Wears Prada from their album *The Eye of Every Storm*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f541bc8190ac7946b91647f2b0 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.