Triple

T20387265
Position Surface form Disambiguated ID Type / Status
Subject Columbus (2017 film) E497990 entity
Predicate festivalSection P9823 FINISHED
Object NEXT 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: NEXT | Statement: [Columbus (2017 film), festivalSection, NEXT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEXT
Context triple: [Columbus (2017 film), festivalSection, NEXT]
  • A. NEXT
    NEXT is a Chinese boy band best known for its pop music performances and for featuring members such as singer and dancer Zhu Zhengting.
  • B. NEXT
    NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
  • C. NEXT chosen
    NEXT is a section of the Sundance Film Festival dedicated to innovative, low-budget, and forward-thinking independent films that often showcase emerging voices and experimental storytelling.
  • D. Next
    Next is a 2007 science fiction action film starring Nicolas Cage as a man who can see a few minutes into his own future.
  • E. Next
    Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.