Triple

T2198852
Position Surface form Disambiguated ID Type / Status
Subject Jordan Peele E50440 entity
Predicate directed P7373 FINISHED
Object Us E306643 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: Us | Statement: [Jordan Peele, directed, Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Us
Context triple: [Jordan Peele, directed, Us]
  • A. Us chosen
    Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • B. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • C. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • D. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • E. .us
    .us is the country code top-level domain (ccTLD) designated for websites associated with the United States.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf7b65cc8190bcc5a5c52b90f33b completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b030fc819c8190a1bd9bba49760fec completed March 10, 2026, 2:55 p.m.
Created at: March 4, 2026, 7:46 p.m.