Triple

T16781220
Position Surface form Disambiguated ID Type / Status
Subject Jim Caviezel E407860 entity
Predicate notableWork P4 FINISHED
Object Frequency E470285 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: Frequency | Statement: [Jim Caviezel, notableWork, Frequency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frequency
Context triple: [Jim Caviezel, notableWork, Frequency]
  • A. Frequency chosen
    Frequency is a 2000 science fiction thriller film involving time-bending communication between a father and son to prevent a series of tragedies.
  • B. Frequency
    Frequency is a rhythm-based music video game developed by Harmonix in which players interactively remix and perform songs by triggering musical tracks in time with the beat.
  • C. Frequency
    Frequency is a music producer known for working with the rapper The Monster.
  • D. Frequency
    Frequency is a contemporary art exhibition curated by Thelma Golden that explored themes of Black identity, culture, and representation through the work of emerging and established artists.
  • E. Full Frequency
    Full Frequency is a 2014 dancehall and reggae fusion studio album by Jamaican artist Sean Paul, featuring club-oriented tracks and numerous high-profile collaborations.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b216726881908ddc9cdc772cd5e4 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0300e48190ad088cd11098ca34 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.