Triple

T16275258
Position Surface form Disambiguated ID Type / Status
Subject Judah Lewis E395107 entity
Predicate appearedIn P795 FINISHED
Object I See You (2019 film) E1204664 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 See You (2019 film) | Statement: [Judah Lewis, appearedIn, I See You (2019 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I See You (2019 film)
Context triple: [Judah Lewis, appearedIn, I See You (2019 film)]
  • A. I See You (2019 film) chosen
    I See You (2019 film) is a 2019 American horror-thriller movie that blends crime investigation with supernatural elements as a family is haunted by mysterious occurrences linked to a missing child case.
  • B. I See You (2017)
    I See You (2017) is the third studio album by English indie pop band The xx, noted for its more expansive, electronic-influenced sound and critical acclaim.
  • C. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • D. I See You
    "I See You" is the third studio album by English indie pop band The xx, known for its atmospheric production and introspective songwriting.
  • E. 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.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460d30608190a721aa845fcf7cf6 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f90d4088190915d701978f018a5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.